Lead- AI Engineer

Job Details

• Position: Lead- AI Engineer

• Experience: 3-4 years

• No of Position: 1

• Location: Remote / Work from Home

• Salary (CTC): 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 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.

  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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.