AI Engineer (LLM / GenAI)

## About the Role Client is building the next generation of enterprise-grade AI products and platforms. We partner with large enterprises and fast-growing startups to architect, build, and deploy production-ready AI systems that create measurable business impact. We're an early-stage, high-caliber team of AI builders, architects, and operators. This is a unique opportunity to join the founding engineering team and help shape both our technology and engineering culture from the ground up. ## Location Bengaluru / Remote-First (India) | We can start remote for now, but since we work in a consulting model, you will have to travel to the client location and work from there as per business needs. ## Employment Details - Full-Time - Founding Team - Experience: INR 2 - 5 years - NP: Immediate Joiners only ## What You'll Do - Build end-to-end AI applications powered by LLMs and Generative AI - Develop and optimize RAG (Retrieval-Augmented Generation) pipelines - Implement embedding, retrieval, prompting, response processing, and evaluation workflows - Integrate leading LLM providers and build orchestration layers for AI systems - Create scalable APIs and services exposing AI capabilities - Design evaluation frameworks to measure model quality, latency, cost, and safety - Collaborate closely with GenAI Architects to convert AI designs into production-ready solutions - Leverage AI-assisted development tools such as Cursor, GitHub Copilot, and Claude Code - Participate in code reviews and contribute to engineering best practices ## What We're Looking For ### Required - 2–7 years of software engineering experience - Strong Python programming skills - Experience working with LLMs, Generative AI, or ML systems in production - Hands-on experience with LangChain, LlamaIndex, or similar AI frameworks - Strong understanding of vector databases and semantic search - Experience building REST APIs and scalable backend services - Familiarity with AWS, GCP, or Azure cloud environments - Excellent debugging, problem-solving, and system design skills ### Nice to Have - Fine-tuning experience (LoRA, QLoRA) - Experience with Hugging Face Transformers and PyTorch - Familiarity with LangSmith, Langfuse, Phoenix, or LLM observability tools - Exposure to Agentic AI and multi-agent systems - Background in Data Engineering or ML Engineering ## Why Join? - Build real-world enterprise AI products from Day One - Work alongside experienced GenAI Architects and AI leaders - Structured career growth from L2 to L5 - ESOP participation and long-term wealth creation - Remote-first culture with flexibility and ownership - Opportunity to define engineering standards in a fast-growing AI company ## Educational Qualification B.E./B.Tech, M.Tech, or M.S. from Tier-1 institutes or reputed regional engineering colleges such as PES University, RVCE, BMSCE, MSRIT, and similar institutions. ## Tech Stack Python | LangChain | LlamaIndex | OpenAI | Anthropic | RAG | Vector Databases (Pinecone, Weaviate, Qdrant, pgvector) | AWS | GCP | Azure | Hugging Face | PyTorch | Agentic AI If you're excited about building production-grade AI systems rather than demos and want to work at the frontier of Generative AI, we'd love to hear from you.