Optimal
AI Tech Lead (Hands-On) | Python | Java | Agentic AI | AWS Bedrock
Skills
7 days ago
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Important information
Contract type:
Freelance / Contract
Location:
London, UK
Work mode:
Onsite
Published on:
13 October 2026
What they need
AI Tech Lead (Hands-On) | Python | Java | Agentic AI | AWS Bedrock | Outside IR35
Rate: £380 - £420 per day Outside IR35
Contract: Contract - 6 months+
Location: London - hybrid, up to 3 days a week onsite
Eligibility: UK based with existing right to work
Requirement: Hands-on tech lead experience on production AI systems with BOTH Python and Java (Non-Negotiable)
🚨 Please only apply if you have commercial experience with ALL of the following 🚨
- Strong Python engineering in production with FastAPI
- Strong Java engineering in production
- Leading a team of engineers while staying hands-on
- Building Generative or Agentic AI features with LLMs into real apps or workflows
- AWS services including EC2, EKS, S3, SQS and Bedrock
- CI/CD and observability in regulated enterprise environments
Optimal have partnered with a global next-gen engineering consultancy delivering AI, cloud and automation programmes for some of the world’s biggest organisations. You’ll lead the build of an enterprise-grade Generative and Agentic AI platform for a major global insurer - real production AI, at serious scale, in a regulated environment where getting it right matters.
This is a genuine hands-on lead role. You’ll set the technical direction, write the code, and make sure what ships is secure, observable and loved by the teams who use it.
Required Background
- Proven experience leading AI or engineering teams while staying hands-on
- Production Python (FastAPI) and Java engineering
- Practical experience integrating LLMs into enterprise systems
- Experience evaluating LLM performance, cost and prompt handling complexity
- Strong grasp of authentication, secret management, network boundaries and model access governance
ℹ️ Very Important Notes
- This is hands-on - not suitable for pure architects or managers who have stepped away from code
- Python AND Java are both essential - one without the other won’t be considered
- Must be comfortable working under strict enterprise security controls
- London office attendance up to 3 days a week
Must-Haves
- Generative and Agentic AI patterns: LLM integration, RAG, prompt-driven workflows and agent orchestration
- CI/CD expertise, ideally Azure DevOps
- Observability built in from day one
- AWS: EC2, EKS, S3, SQS, Bedrock and AgentCore
- Proactive leadership - spots gaps and drives solutions without waiting for tickets
Bonus Experience
- Kong API Gateway, Kong Mesh, Flux CD
- Terraform with GitOps workflows
- Prompt evaluation, observability and red teaming tools (Arize, Promptfoo)
- SQL (MySQL, PostgreSQL) and NoSQL databases
- Vector search technologies
Hands-On Experience With
- Python (FastAPI) and Java
- LLMs, RAG and agent systems
- AWS Bedrock and AgentCore
- Azure DevOps CI/CD pipelines
- Microservices and RESTful APIs
What You’ll Be Doing
Technical Leadership
- Lead a team of AI developers building core services, features and capabilities on an enterprise Agentic AI platform
- Shape API standards, reusable patterns and documentation for platform adoption
- Partner with platform leads, architects and design teams to operationalise AI services reliably
AI Engineering
- Build and optimise Python AI components: prompt orchestration, output validation and evaluation tooling
- Integrate LLMs with enterprise systems, observability and security frameworks
- Contribute to RAG implementations and data access patterns
- Drive benchmarking, evaluation and experiment tracking for LLM performance and cost
Delivery & DevOps
- Design and maintain CI/CD pipelines (Azure DevOps primarily)
- Troubleshoot and optimise performance across distributed systems and cloud services
- Automate everything to cut toil and accelerate delivery
What They’re Looking For
- A hands-on lead who builds alongside the team
- Someone comfortable in emerging domains where best practice is still being written
- A collaborative communicator who earns trust across engineering, data and product
- An engineer who adopts new AI techniques in a structured, secure way
If you tick every box above and want to lead real Agentic AI into production at enterprise scale, get in touch for a fast response.
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