Machine Learning Engineer LLM & GenAI

We are looking for an ML LLM & GenAI to join our team. The ideal candidate has hands-on experience building production-grade LLM applications and will play a key role in developing AskOX the conversational AI layer of the OXRED Platform that enables users to interact with fleet data using natural language. The role focuses on designing building and optimizing the LLM backend that powers this system.
Key Responsibilities

LLM and Backend Development

• 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.
• Design prompt engineering strategies structured output generation and intent classification pipelines.

Integration and Testing

• 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.

Optimization and Reporting

• Evaluate and improve retrieval accuracy latency and hallucination rates.
• Implement caching or schema-based memory for frequently accessed data.
• Develop automated evaluation pipelines and benchmark retrieval quality response accuracy latency and hallucination rates.

Documentation and Handoff

• Maintain technical documentation and API specifications.
• Document system architecture prompt strategies and deployment procedures.
• Contribute to model lifecycle management and continuous improvement.

Qualifications :

Requirements:

• 46 years of hands-on experience in Machine Learning with 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).

Preferred Qualifications:

• Knowledge of EV analytics fleet management or IoT data.
• Familiarity with OpenAI Anthropic or Ollama models.
• Experience with embedding optimization and hallucination control.
• Prior exposure to multi-agent or AI orchestration frameworks.

Additional Information :

Why Join Us:

• 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 
**Candidates outside India can also apply
 

Remote Work :

Yes

Employment Type :

Full-time