Lead- AI Engineer
Core
Design and deliver production-grade LLM-powered features, intelligent agents, and RAG pipelines on AWS.
Role type
Lead AI Engineer (Generative AI)
Builds
LLM-powered agents, conversational AI features, RAG pipelines, multi-agent orchestration workflows
Domain
Generative AI, Cloud Infrastructure, Enterprise SaaS
Deliverable
production ML models
Required skills
LLM APIs (AWS Bedrock, OpenAI, Anthropic), RAG pipeline design, Agent frameworks (LangChain, LlamaIndex), AWS services (Lambda, ECS/EKS, S3, DynamoDB, OpenSearch), Python (FastAPI/Flask), API design (REST/GraphQL), Infrastructure-as-code (Terraform, AWS CDK), CI/CD
Preferred skills
Sales Enablement/CRM integrations, Advanced agent orchestration, B2B SaaS environment experience
Technologies
AWS Bedrock, OpenAI, Anthropic, LangChain, LlamaIndex, MCP, OpenSearch, Pinecone, pgvector, FastAPI, Flask, Terraform, AWS CDK, GitHub Actions
Responsibilities
Design, build, and deploy LLM-powered agents and conversational AI features; Architect and optimise end-to-end RAG pipelines; Implement Model Context Protocol (MCP) servers; Develop and maintain LLM evaluation frameworks; Build scalable, multi-region cloud infrastructure; Secure APIs and enforce access controls; Integrate third-party platforms via REST APIs and webhooks; Build bulk data ingestion/export pipelines; Own CI/CD pipelines and production reliability
Seniority
Lead, hands-on IC with mentorship
