Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 21, 2026
Full time
Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 21, 2026
Full time
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Our client are a Fashion - Forward, global sourcing and manufacturing business partnering with some of the biggest names in Fashion. We are actively sourcing an Admin Assistant to joining their busy office where no two days are the same, to support the current EA / Office Manager with all admin and ad - hoc tasks. This is great opportunity for someone who wants hands on exposure to a fast - paced manufacturing environment and to understand how fashion businesses run, whilst honing in on their administrative skills. The role is 5 days in the offices Mon - Fri. Admin Assistant Maintain a tidy Office Environment Manage Office Supplies Managing "The Run" Submit/reconcile credit card expenses in SAP (Common card) Support Overseas Teams as required Support with showroom/meeting room booking where necessary Manage the run and DHL Resolve DHL issues Steaming & other departmental support Office Organization Meeting snacks & Drinks Ordering Supplies General Admin & Support for Office Manager Booking Taxis Support FN Sample buy & returns Support Shoes & Accessories Team Prepare samples for Raspberry & ship Post room management Support CFO as needed General Maintain a thorough understanding of Company products Occasional weekend work required To carry out any other duties commensurate with the grade and purpose of the post Behaviours Dynamic Creative Flexible Strong communication Willingness to travel Teamwork skills Proactive Skills & Knowledge Some commercial and business knowledge PC literate with good administration skills Effective written and verbal communication skills Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Jun 19, 2026
Full time
Our client are a Fashion - Forward, global sourcing and manufacturing business partnering with some of the biggest names in Fashion. We are actively sourcing an Admin Assistant to joining their busy office where no two days are the same, to support the current EA / Office Manager with all admin and ad - hoc tasks. This is great opportunity for someone who wants hands on exposure to a fast - paced manufacturing environment and to understand how fashion businesses run, whilst honing in on their administrative skills. The role is 5 days in the offices Mon - Fri. Admin Assistant Maintain a tidy Office Environment Manage Office Supplies Managing "The Run" Submit/reconcile credit card expenses in SAP (Common card) Support Overseas Teams as required Support with showroom/meeting room booking where necessary Manage the run and DHL Resolve DHL issues Steaming & other departmental support Office Organization Meeting snacks & Drinks Ordering Supplies General Admin & Support for Office Manager Booking Taxis Support FN Sample buy & returns Support Shoes & Accessories Team Prepare samples for Raspberry & ship Post room management Support CFO as needed General Maintain a thorough understanding of Company products Occasional weekend work required To carry out any other duties commensurate with the grade and purpose of the post Behaviours Dynamic Creative Flexible Strong communication Willingness to travel Teamwork skills Proactive Skills & Knowledge Some commercial and business knowledge PC literate with good administration skills Effective written and verbal communication skills Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Position: GenAI Python Developer Location: London (and client sites some within an hour of London) Working Pattern: Hybrid (3 days per week in office or client sites) The Company Sandhata is a global consultancy providing Next Gen Engineering Services dedicated to transforming businesses. Our services span all facets of Digital Transformation, DevOps & Cloud, Integration, Automation, Low Code Application Development and AI-enabled services. Sandhata is a privately held IT services company with bases in the UK and India operating worldwide to help clients deliver a 'digital first' strategy. Sandhata is currently working with clients across various industry sectors, helping them to deliver cutting-edge technology solutions that streamline business processes and drive IT efficiency. Overview We are seeking an experienced GenAI Developer to develop core services, features and capabilities on an enterprise-grade Generative AI Virtual Agent front line capability for a large global insurer. This role blends strong Python engineering with DevOps enablement and hands-on integration of LLM technologies into secure, scalable enterprise environments. The ideal candidate will bring practical development and platform engineering experience, strong DevSecOps skills, and the curiosity to solve emerging engineering challenges in this rapidly evolving Gen AI space. Key Responsibilities Familiarity with GenAI concepts such as LLMs, RAG patterns, prompt-driven workflows, and AI service orchestration Build and maintain Back End services and APIs enabling secure access to LLM capabilities. Develop and optimise Python-based GenAI components including prompt orchestration, output validation, and evaluation tooling. Integrate LLMs with enterprise systems, observability, and security frameworks. Design and maintain CI/CD pipelines aligned to engineering standards (Azure DevOps primarily). Collaborate closely with platform leads, architects, and design teams to ensure reliable operationalisation of GenAI services. Support benchmarking, evaluation, and experiment tracking for LLM performance and cost. Contribute to RAG implementations and data access patterns supporting enterprise use cases. Help shape API standards, reusable patterns, and documentation for platform adoption. Troubleshoot and optimise performance across distributed systems and cloud services. Mandatory Skills & Experience Strong Python and FastAPI engineering in production systems. Working knowledge of GenAI technologies and Large Language Models. Experience evaluating LLM performance and prompt handling complexities. Solid DevOps mindset with CI/CD expertise and observability best practices (Azure DevOps preferred). Comfortable working in regulated enterprise environments with strict security controls. Experience integrating AI services into real-world apps or workflows. Infrastructure-as-code (Terraform) Knowledge of authentication, secret management, network boundaries, and model access governance. Developement of AWS services: EC2, EKS, S3, SQS, DynamoDB, Bedrock. Preferred Skills Kong API Gateway, Kong Mesh, Flux CD. RESTful API development (FastAPI preferred), microservices, Terraform with GitOps workflows. Prompt evaluation, observability & red teaming tools (like Arize, Promptfoo). Experience with SQL (MySQL, PostgreSQL) and NoSQL databases Exposure to RAG patterns and vector search technologies. Behavioural Competencies Proactive self-starter who identifies gaps and drives solutions without waiting for tickets. Comfortable working in ambiguous emerging domains where best practice is evolving. Collaborative communicator able to influence and gain trust across engineering, data, and product teams. Curiosity to explore and adopt new GenAI techniques in a structured, secure way. Bias toward automating everything to reduce toil and accelerate delivery. What Success Looks Like Efficient, secure, and reusable GenAI components delivered into production. Improved engineering velocity through automation and DevOps best practices. Stable services, with observability and evaluation built in from day one. Platform teams and application teams love using what you build. Clear documentation and fast onboarding for future use cases.
Jun 19, 2026
Full time
Position: GenAI Python Developer Location: London (and client sites some within an hour of London) Working Pattern: Hybrid (3 days per week in office or client sites) The Company Sandhata is a global consultancy providing Next Gen Engineering Services dedicated to transforming businesses. Our services span all facets of Digital Transformation, DevOps & Cloud, Integration, Automation, Low Code Application Development and AI-enabled services. Sandhata is a privately held IT services company with bases in the UK and India operating worldwide to help clients deliver a 'digital first' strategy. Sandhata is currently working with clients across various industry sectors, helping them to deliver cutting-edge technology solutions that streamline business processes and drive IT efficiency. Overview We are seeking an experienced GenAI Developer to develop core services, features and capabilities on an enterprise-grade Generative AI Virtual Agent front line capability for a large global insurer. This role blends strong Python engineering with DevOps enablement and hands-on integration of LLM technologies into secure, scalable enterprise environments. The ideal candidate will bring practical development and platform engineering experience, strong DevSecOps skills, and the curiosity to solve emerging engineering challenges in this rapidly evolving Gen AI space. Key Responsibilities Familiarity with GenAI concepts such as LLMs, RAG patterns, prompt-driven workflows, and AI service orchestration Build and maintain Back End services and APIs enabling secure access to LLM capabilities. Develop and optimise Python-based GenAI components including prompt orchestration, output validation, and evaluation tooling. Integrate LLMs with enterprise systems, observability, and security frameworks. Design and maintain CI/CD pipelines aligned to engineering standards (Azure DevOps primarily). Collaborate closely with platform leads, architects, and design teams to ensure reliable operationalisation of GenAI services. Support benchmarking, evaluation, and experiment tracking for LLM performance and cost. Contribute to RAG implementations and data access patterns supporting enterprise use cases. Help shape API standards, reusable patterns, and documentation for platform adoption. Troubleshoot and optimise performance across distributed systems and cloud services. Mandatory Skills & Experience Strong Python and FastAPI engineering in production systems. Working knowledge of GenAI technologies and Large Language Models. Experience evaluating LLM performance and prompt handling complexities. Solid DevOps mindset with CI/CD expertise and observability best practices (Azure DevOps preferred). Comfortable working in regulated enterprise environments with strict security controls. Experience integrating AI services into real-world apps or workflows. Infrastructure-as-code (Terraform) Knowledge of authentication, secret management, network boundaries, and model access governance. Developement of AWS services: EC2, EKS, S3, SQS, DynamoDB, Bedrock. Preferred Skills Kong API Gateway, Kong Mesh, Flux CD. RESTful API development (FastAPI preferred), microservices, Terraform with GitOps workflows. Prompt evaluation, observability & red teaming tools (like Arize, Promptfoo). Experience with SQL (MySQL, PostgreSQL) and NoSQL databases Exposure to RAG patterns and vector search technologies. Behavioural Competencies Proactive self-starter who identifies gaps and drives solutions without waiting for tickets. Comfortable working in ambiguous emerging domains where best practice is evolving. Collaborative communicator able to influence and gain trust across engineering, data, and product teams. Curiosity to explore and adopt new GenAI techniques in a structured, secure way. Bias toward automating everything to reduce toil and accelerate delivery. What Success Looks Like Efficient, secure, and reusable GenAI components delivered into production. Improved engineering velocity through automation and DevOps best practices. Stable services, with observability and evaluation built in from day one. Platform teams and application teams love using what you build. Clear documentation and fast onboarding for future use cases.
Cyber Security Specialist (Red Team) - Worcester, UK Salary up to £80,000 Depending on Experience Full time onsite role, in a cutting-edge environment Active eDV clearance required ABOUT THE CLIENT: Our client is a highly respected organisation operating at the forefront of advanced technology and cyber capability. They deliver impactful solutionacs across complex, high assurance environments, working on projects that directly contribute to critical national objectives. Due to continued growth and programme demand, they are looking to appoint Cyber Security Specialists to join their expert team. THE BENEFITS: Generous holiday allowance with buy and sell options Private medical and healthcare options Pension scheme with employer contribution Ongoing training, certifications and career progression Collaborative and inclusive working culture THE SENIOR CYBER SECURITY SPECIALIST ROLE: You will play a key role in delivering advanced red team operations, simulating real world cyber-attacks to test and strengthen security capabilities. Working within a specialist team, you will design and execute complex engagement scenarios, identify vulnerabilities and contribute to improving defensive posture across a range of systems and environments. SENIOR CYBER SECURITY SPECIALIST ESSENTIAL SKILLS: Strong experience in red teaming or offensive cyber operations Deep knowledge of Windows security internals and evasion techniques Experience exploiting vulnerabilities across infrastructure and applications Understanding of cloud security testing across AWS, Azure or GCP Familiarity with offensive tooling such as Cobalt Strike Experience bypassing modern security controls (EDR, IDS, firewalls) Knowledge of covert communications and advanced attack techniques TO BE CONSIDERED: Please either apply through this advert or emailing me directly via . For further information please call me: . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Red Team, Offensive Security, Cyber Security, Penetration Testing, Windows Security, Cobalt Strike, Cloud Security, AWS, Azure, GCP, NSD
Jun 17, 2026
Full time
Cyber Security Specialist (Red Team) - Worcester, UK Salary up to £80,000 Depending on Experience Full time onsite role, in a cutting-edge environment Active eDV clearance required ABOUT THE CLIENT: Our client is a highly respected organisation operating at the forefront of advanced technology and cyber capability. They deliver impactful solutionacs across complex, high assurance environments, working on projects that directly contribute to critical national objectives. Due to continued growth and programme demand, they are looking to appoint Cyber Security Specialists to join their expert team. THE BENEFITS: Generous holiday allowance with buy and sell options Private medical and healthcare options Pension scheme with employer contribution Ongoing training, certifications and career progression Collaborative and inclusive working culture THE SENIOR CYBER SECURITY SPECIALIST ROLE: You will play a key role in delivering advanced red team operations, simulating real world cyber-attacks to test and strengthen security capabilities. Working within a specialist team, you will design and execute complex engagement scenarios, identify vulnerabilities and contribute to improving defensive posture across a range of systems and environments. SENIOR CYBER SECURITY SPECIALIST ESSENTIAL SKILLS: Strong experience in red teaming or offensive cyber operations Deep knowledge of Windows security internals and evasion techniques Experience exploiting vulnerabilities across infrastructure and applications Understanding of cloud security testing across AWS, Azure or GCP Familiarity with offensive tooling such as Cobalt Strike Experience bypassing modern security controls (EDR, IDS, firewalls) Knowledge of covert communications and advanced attack techniques TO BE CONSIDERED: Please either apply through this advert or emailing me directly via . For further information please call me: . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Red Team, Offensive Security, Cyber Security, Penetration Testing, Windows Security, Cobalt Strike, Cloud Security, AWS, Azure, GCP, NSD