Generative AI Engineer

Dear Aspirants,
We are looking for a Gen AI Developer / AI Engineer who has hands-on experience building and deploying production-grade Gen AI/LLM solutions.
Experience: 2–6 Years
Location: Remote
Notice Period: Immediate–20 days preferred
Education – Mandatory - B.Tech/B.E. from IIT/NIT ,IIT only in CSE | ECE | Mathematics & Computing | CS & Business Systems | AI/ML | Robotics & Automation | AI & Data Science | IT
ONLY candidates who meet the criteria should apply.
We will be considering profiles strictly based on the mandatory requirements, including IIT/NIT education, relevant branch, production Gen AI experience.
Key Responsibilities
Own the end-to-end development and deployment of Gen AI solutions, from requirement discovery through production.
Design and develop solutions involving LLMs, RAG, document processing, AI agents, copilots and intelligent automation.
Build scalable LLM/RAG architectures using vector databases and cloud platforms.
Implement LLM evaluation, prompt/version management, guardrails, monitoring and observability.
Optimise solutions for cost, latency, accuracy and reliability.
Work directly with clients, stakeholders and product/technical teams to translate business problems into technical solutions.
Take ownership of at least one 0-to-1 Gen AI project.
Use AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or Windsurf, while critically reviewing generated code.
Mandatory Technical Skills
Strong hands-on Python development.
Proficiency in at least one of: TypeScript , Java, Go
Hands-on experience with Generative AI / LLM application development.
Production experience with at least one LLM-powered application/feature.
Strong understanding of: RAG, Vector databases ,Prompt engineering, LLM evaluation ,AI agents / agentic workflows , API integration , System design
Experience with at least one cloud platform: AWS / Azure / GCP
Experience with vector databases such as Pinecone, Weaviate, pgvector or equivalent.
Understanding of cost, latency, scalability, observability and production reliability for Gen AI applications.

Work arrangement
Yes