Gen AI Developer

• Build and maintain backend 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 SRE 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., * 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.

Do you have experience in Terraform?, Do you have a Master's degree?, The ideal candidate will bring practical GenAI development experience, strong automation skills, and the curiosity to solve emerging engineering challenges in this rapidly evolving space., * Strong Python backend engineering in production systems (Python, Node.js, and associated frameworks like Django, Spring).

• 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.
• Knowledge of authentication, secret management, network boundaries, and model access governance

Preferred Skills

• Kong API Gateway, Kong Mesh, Flux CD.
• AWS services: EC2, EKS, S3, SQS, DynamoDB, Bedrock.
• RESTful API development (FastAPI preferred), microservices, Terraform with GitOps workflows.
• Prompt evaluation tools (like Promptfoo).
• Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) 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.