Lead- AI Engineer

As per company standards 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 Saa S or a cloud-native environment. -Hands-on experience with LLM APIs — AWS Bedrock, Open AI, or Anthropic — and building production-ready Gen AI features. -Strong knowledge of RAG pipeline design — embeddings, vector stores (Open Search, Pinecone, pgvector),and retrieval strategies. -Proficiency with agent frameworks such as Lang Chain or Llama Index; familiarity with MCP (Model Context Protocol).Solid AWS skills — Lambda, ECS/EKS, S3, Dynamo DB, Open Search, SQS, and multi-region architecture patterns. -Backend development in Python (Fast API / Flask) — able to write and maintain production-quality services and APIs. -REST / Graph QL API design with Open API documentation; experience with OAuth 2.0, SAML, and OIDC. -Infrastructure-as-code experience using Terraform or AWS CDK; CI/CD pipelines with Git Hub 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 Saa S or enterprise software environment. Application Process You can apply on this job portal, or submit your resume and relevant details to: placement@emplay.net Email subject line: Application – Lead- AI Engineer – Emplay Inc Please include the following in your email: ● Current CTC ● Expected CTC ● Notice period ● Years of relevant experience ● Reason for job change ● Linked In profile link ‍ Open Linkedin Apply View all jobs OUR PRODUCTS Sales Agents Support Agents Procurement Agents People Performance Agents OUR PLATFORM Conversational AI Knowledge AI Generative AI COMPANY About Us Partner with Us Careers Contact Us RESOURCES Resource hub Video Blog Linked In Twitter POLICIES Terms of Use Privacy Policy Security and Compliance Copyright © 2025 Emplay. All rights reserved.