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 :

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.