Job Summary
We are looking for an experienced AI Engineer to architect and build enterprise-grade Generative AI solutions from the ground up. The ideal candidate should have strong expertise in RAG pipelines, Agentic AI architectures, LLM integration, and Google Cloud Platform (GCP). This is a high-impact role requiring ownership of solution design, implementation, deployment, and continuous improvement.
Key Responsibilities
- Design and build scalable RAG-based AI applications.
- Develop Agentic AI workflows and multi-agent architectures.
- Understand business requirements and translate them into AI solutions.
- Build AI systems from concept to production.
- Optimize retrieval quality, grounding, and hallucination control.
- Recommend architectural improvements and AI best practices.
- Collaborate with business stakeholders throughout the solution lifecycle.
Required Skills
- 5+ years of software engineering experience with strong AI/ML expertise.
- Hands-on experience with RAG architecture and LLM applications.
- Experience building AI agents using LangChain, LangGraph, CrewAI, or similar frameworks.
- Strong knowledge of document ingestion, chunking, embeddings, vector databases, and semantic search.
- Experience integrating LLMs (OpenAI, Gemini, Claude, etc.).
- Strong Python programming skills.
- Experience deploying AI solutions on Google Cloud Platform (Vertex AI preferred).
- Knowledge of prompt engineering, grounding, citations, and hallucination mitigation.
- Experience taking AI solutions into production.
Preferred Skills
- Vertex AI
- Gemini Models
- BigQuery
- Cloud Run / GKE
- Pinecone, Weaviate, Chroma, FAISS, or similar vector databases
- CI/CD and MLOps knowledge
Nice to Have
- Experience building conversational document intelligence solutions.
- Experience with enterprise knowledge management and document search platforms.
- Strong stakeholder communication and solution architecture skills.
Benefits:
Application Question(s):
- Will you be able to share PAN card and Aadhar Card for background verification?
- Are you currently employed anywhere?
- Willingness to work in 2:30 PM to 11:30 PM /3.30 PM to 12.30 AM (based on daylight savings) shift?
- This is a CONTRACTUAL JOB for 6 MONTHS. Are you fine with this?
Experience:
- RAG pipelines: 4 years (Required)
- Agentic AI architectures: 4 years (Required)
- LLM integration: 4 years (Required)
- AI/ML: 4 years (Required)
- Total: 8 years (Required)
Work Location: Remote
