AI Engineer (LLM / GenAI)

Overview

AI Engineer (LLM / GenAI)

*📍 Location: *

Bengaluru / Remote-First (India) | Explain that we can start remote for now, but since we work in a consulting model they 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.