Lead- AI Engineer

**Position:** Lead- AI Engineer **Experience:** 3-4 years **No of Position -** 1 **Location -** Remote / Work from Home **Salary (CTC) -** 12- 15 LPA **Role Overview** We are looking for a Lead- AI Engineer with hands-on experience in Generative AI, Retrieval-Augmented Generation (RAG), and AWS cloud services. You will work with teams to design and deliver production-grade LLM-powered features, build intelligent agents, and integrate enterprise tools — working closely with cross-functional teams to ship high-quality AI solutions at scale. **Key Responsibilities** * Design, build, and deploy LLM-powered agents and conversational AI features on AWS. * Architect and optimise end-to-end RAG pipelines — embedding, vector indexing, and context retrieval. * Implement Model Context Protocol (MCP) servers to support multi-agent orchestration workflows. * Develop and maintain LLM evaluation frameworks for quality assurance and regression tracking. * Build scalable, multi-region cloud infrastructure leveraging core AWS services. * Secure APIs and enforce access controls, authentication flows, and data privacy standards. * Integrate third-party platforms (CRM, Sales Enablement, analytics tools) via REST APIs and webhooks. * Build bulk data ingestion/export pipelines and instrument usage analytics and logging. * Own CI/CD pipelines, automated regression testing, and production reliability. * Collaborate with product and engineering teams to scope, estimate, and deliver features on time. **Qualifications** * 3-4 years of experience AI/ML engineering or a related technical role, preferably in SaaS or a cloud-native environment. * Hands-on experience with LLM APIs — AWS Bedrock, OpenAI, or Anthropic — and building production-ready GenAI features. * Strong knowledge of RAG pipeline design — embeddings, vector stores (OpenSearch, Pinecone, pgvector),and retrieval strategies. * Proficiency with agent frameworks such as LangChain or LlamaIndex; familiarity with MCP (Model ontext Protocol).Solid AWS skills — Lambda, ECS/EKS, S3, DynamoDB, OpenSearch, SQS, and multiregion architecture patterns. * Backend development in Python (FastAPI / Flask) — able to write and maintain production-quality services and APIs. * REST / GraphQL API design with OpenAPI documentation; experience with OAuth 2.0, SAML and OIDC. * Infrastructure-as-code experience using Terraform or AWS CDK; CI/CD pipelines with GitHub Actions or equivalent. * Strong problem-solving skills and ability to work with ambiguous requirements. * Good communication skills, able to work with both technical and non-technical stakeholders. **Preferred Skills** * Experience with Sales Enablement or CRM integrations * Familiarity with advanced agent orchestration and multi-tool LLM workflows. * Prior experience in a B2B SaaS or enterprise software environment