Senior AI Engineer- Remote, India
The Hackett Group (company site, opens in a new tab)4–6 yrsRemoteDirect career pageEst. 18–35 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop and deploy production large language model (LLM) applications including retrieval augmented generation (RAG), multi-step reasoning, and tool-calling systems.
- Engineer and optimize backend systems involving vector databases, embedding selection, indexing, filtering, and latency/cost reduction techniques for LLM inference at scale.
- Lead AI system evaluation, monitoring (accuracy, groundedness, safety, hallucination), and operate end-to-end model deployment with CI/CD in cloud environments, including mentoring engineers and driving technical standards.
Minimum Requirements
- 4-6 years engineering experience including at least 2-3 years building and shipping production LLM or Generative AI systems.
- Expertise in Python with asynchronous programming and FastAPI; deep experience with LLM application development and transformer internals.
- Hands-on experience with vector databases (e.g., Pinecone, Weaviate), LangChain or similar agent frameworks, PyTorch, Hugging Face Transformers, cloud platforms (AWS/Azure/GCP), containers (Docker) and CI/CD.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
Ideal Candidate Profile
- Demonstrates strong engineering judgement balancing accuracy, cost, and latency trade-offs in production AI systems.
- Experience leading technically complex AI projects, mentoring teams, and improving engineering standards in fast-paced environments.
- Pragmatic problem solver comfortable with ambiguous, rapidly evolving AI research and production challenges, with a portfolio or open-source contributions in Generative AI.