Senior AI Engineer
Analyttica Datalab
5 - 10 years
Bengaluru
Posted: 17/03/2026
Getting a referral is 5x more effective than applying directly
Job Description
Key Responsibilities:
- Research the latest LLMs, GenAI tools, and AI infrastructure for relevant product opportunities.
- Build and refine LLM-powered POCs for analytics use cases.
- Evaluate the right approach across prompting, RAG, fine-tuning, and model choice.
- Improve performance across latency, accuracy, cost, reliability, and UX.
- Run experiments across data prep, retrieval, prompts, guardrails, and evaluation.
- Turn strong POCs into scalable designs for production.
- Mentor junior team members on LLM systems and AI experimentation.
Essential Experience and Skillset
- At least 1 year focused on Generative AI and LLM systems: Strong experience with prompt engineering, embeddings, RAG, fine-tuning, LLM evaluation, and optimizing for latency, inference performance, and production trade-offs.
- 4+ years of experience in engineering/data science, or a PhD in a relevant field.
- Proficiency in Python.
- Good grounding in machine learning and NLP.
- Experience with vector databases, retrieval systems, and LLM orchestration frameworks such as LangChain/LangGraph.
About Us
https://analyttica.com/
Our flagship product, LEAPS, turns thousands of everyday business decisions into data-driven ones with context-aware, conversational analytics for every business user. We're building in a fast-moving space, solving challenging problems, and looking for people who want to grow with us!
Our Values
- Ownership & Initiative: We're a team who loves what we do-and are excited by a challenge. Growth is based on ownership, initiative, accountability, and impact.
- Forward Thinking We work in a fast-moving AI space and value curiosity, experimentation, research, and a habit of learning quickly.
- Teamwork & Working Smart: Were a small team, and collaboration is our superpower. We work together closely, share context early, and focus on working smarter so energy goes into meaningful progress, not busywork.
- Honesty & Integrity: Trust, transparency, and direct communication are essential to doing great work together.
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