Position - Lead- AI Engineer
Experience - 3-4 years
No of Position - 1
Location - Remote / Work from Home
Salary (CTC) - As per company standards
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.
● 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.
- 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 Context Protocol).Solid AWS skills — Lambda, ECS/EKS, S3, DynamoDB,
OpenSearch, SQS, and multi-region 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.
-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.
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
● LinkedIn profile link
