AI Engineer - Generative AI/LLM

Role : AI Engineer (LLM / GenAI)Location : Bengaluru / Remote-First (India). 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 TeamCompetitive Salary (Fixed + Variable + ESOPs)Experience : 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