Gen AI Lead

Job DescriptionPosition

AI Tech Lead Developer

The Company

We are a technology-driven organisation delivering modern engineering solutions that help businesses accelerate digital transformation and innovation. Our teams specialise in cloud-native development, DevOps, automation, integration, low-code platforms, and AI application engineering.

We work with enterprise clients across multiple industries to build scalable, secure, and high-performing digital platforms that improve operational efficiency and enable next-generation capabilities.

Role

We are seeking an experienced AI Tech Lead Developer to lead a team in developing core services, features, and capabilities on enterprise-grade Generative & Agentic AI applications.

This is a hands-on technical leadership role combining strong software engineering expertise with DevOps enablement and practical implementation of Large Language Model (LLM) technologies within secure and scalable enterprise environments.

Key Responsibilities

· Lead a team of AI developers to build enterprise-grade Generative & Agentic AI solutions.

· Design and implement scalable AI services, APIs, and orchestration workflows.

· Develop and optimise Python-based AI components including prompt orchestration, validation, and evaluation tooling.

· Integrate LLMs with enterprise systems, observability platforms, and security frameworks.

· Design and maintain CI/CD pipelines aligned with engineering best practices.

· Collaborate with architects, platform teams, and product stakeholders to operationalise AI services.

· Support benchmarking, evaluation, and experiment tracking for LLM performance and cost optimisation.

· Contribute to RAG implementations and enterprise data access patterns.

Mandatory Skills & Experience

· Strong Python engineering experience in production systems using FastAPI.

· Strong Java engineering experience in enterprise applications.

· Working knowledge of Generative AI, Agentic AI technologies, and Large Language Models.

· Experience evaluating LLM performance and handling prompt engineering complexities.

· Strong DevOps mindset with CI/CD expertise and observability best practices.

· Experience integrating AI services into real-world applications and workflows.

· Knowledge of authentication, secret management, network security, and governance models.

· Experience with AWS services including EC2, EKS, S3, SQS, DynamoDB, Bedrock, and AgentCore.

Preferred Skills

· RESTful API development and microservices architecture.

· Terraform and GitOps workflows.

· SQL and NoSQL databases.

· Prompt evaluation and AI observability tools.

· Exposure to vector search technologies and RAG architectures.

Behavioural Competencies

· Proactive technical leadership and problem-solving mindset.

· Strong collaboration and communication skills.

· Ability to work in evolving and emerging AI domains.

· Focus on automation, efficiency, and continuous improvement.

What Success Looks Like

· Secure, scalable, and reusable AI components delivered into production.

· Improved engineering productivity through automation and DevOps practices.

· Reliable and observable AI services with strong monitoring and evaluation capabilities.

· Well-documented platforms and fast onboarding for future teams and use cases.

We are an equal opportunity employer committed to fostering an inclusive and diverse workplace environment for all employees.

Pay: £300.20-£400.02 per day

Work Location: In person