Machine Learning Engineer – LLM, GenAI

Datakrew

ML Engineer building LLM & GenAI applications at Datakrew, focusing on fleet performance and diagnostics. Develop and optimize backend services using Python and FastAPI.

Posted 7/23/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and developing LLM-powered backend services using Python and FastAPI, with a strong focus on implementing retrieval-augmented generation and managing data retrieval pipelines. Experienced in integrating chatbot logic and ensuring efficient data flow while maintaining technical documentation.

Highest-signal resume keywords

Python ProficiencyFastAPI DevelopmentLangChain Framework ExperienceMachine Learning ExpertiseRetrieval Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningLLM Application DevelopmentRetrieval-Augmented GenerationSQLCrateDBPostgreSQLVector DatabasesPrompting StrategiesData RetrievalPerformance Metrics

Tools & Technologies

FastAPILangChainLlamaIndexHaystackOXRED APIsAskOX Frontend

Industry Keywords

EV DomainFleet AnalyticsVehicle DiagnosticsPredictive InsightsData Flow Security

Tech Stack

Tools & technologies

PostgresPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain the LLM-powered backend services using Python and FastAPI.
Implement retrieval-augmented generation (RAG) to fetch structured and unstructured data from OXRED.
Use frameworks like LangChain, LlamaIndex, or Haystack to manage context retrieval, query routing, and summarization.
Integrate the chatbot logic with the existing OXRED AskOX frontend.
Design, implement, and validate support for diverse fleet analytics use cases including fleet summaries, vehicle diagnostics, predictive insights, and performance metrics.
Ensure secure and efficient data flow between OXRED APIs and the AskOX backend.
Evaluate and improve retrieval accuracy, latency, and hallucination rates.
Maintain technical documentation and API specifications.

Requirements

What you’ll need

4–6 years of hands-on experience in Machine Learning.
Demonstrated experience building LLM or Generative AI applications using LangChain, LlamaIndex, or similar frameworks.
Proficiency in Python and FastAPI.
Experience with retrieval pipelines, SQL, or CrateDB/PostgreSQL.
Understanding of vector databases (e.g., FAISS, Chroma, Pinecone).
Ability to design efficient prompting strategies and retrieval pipelines for structured and unstructured data.
Knowledge in the EV Domain (brownie points).

Benefits

Comp & perks

Work on an ecosystem of cutting-edge products combining web tech, automation, and AI.
Directly influence product architecture and team growth.
Engage with leading automotive and AI-driven innovation challenges.
Remote working.