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Senior AI Engineer

Actively Reviewing the Applications

Analyttica Datalab

India, Karnataka, Bengaluru Full-Time On-site
Posted 2 days ago Apply by June 13, 2026

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

  1. 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.
  2. Forward Thinking We work in a fast-moving AI space and value curiosity, experimentation, research, and a habit of learning quickly.
  3. Teamwork & Working Smart: We’re 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.
  4. Honesty & Integrity: Trust, transparency, and direct communication are essential to doing great work together.
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