Job Description
About the job AI Engineer (LLM / GenAI) *📍 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. 💼 Full-Time | Founding Team 💰 Competitive Salary (Fixed + Variable + ESOPs) Experience : INR 2 -5 years *NP: immediate Joiners only * 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. 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: 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.
Required Skills
['Python Azure AWS GCP PyTorch openAI LangChain Retrieval-Augmented Generation (RAG) LLMs', 'Langchain', 'Llama-Index', 'Huggingface RAGs', 'ChatGPT', 'Hugging Face', 'LangChain', 'LlamaIndex', 'Transformers', 'VectorDB Agentic AI Vector Databases (Pinecone Serverless', 'Qdrant', 'FAISS', 'ChromaDB)']
Additional Information
NA