Machine Learning Engineer - LLM & GenAI

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and develop production-grade LLM applications for conversational AI experiences. Build and optimize retrieval-augmented generation pipelines connecting structured and unstructured data sources. Implement frameworks like LangChain and LlamaIndex to improve AI performance and reliability.

Key Highlights

Production-grade LLM application development

Retrieval-augmented generation (RAG) pipeline optimization

Integration with existing product interfaces and backend services

Key Responsibilities

Design, develop, and maintain LLM-powered backend services using Python and FastAPI

Build and optimize retrieval-augmented generation (RAG) pipelines connecting structured and unstructured data sources

Implement frameworks such as LangChain, LlamaIndex, Haystack, or similar technologies to manage context retrieval, query routing, summarization, and response generation

Develop prompt engineering strategies, structured output generation workflows, and intent classification pipelines

Integrate conversational AI capabilities with existing product interfaces and backend services

Design, test, and validate AI solutions across diverse analytics use cases

Evaluate and improve retrieval accuracy, response quality, latency, and hallucination rates

Implement caching strategies, schema-based memory solutions, and automated evaluation pipelines

Maintain technical documentation covering system architecture, APIs, prompt strategies, deployment processes, and model lifecycle improvements

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Technical Skills Required

Python FastAPI LLM application frameworks (LangChain, LlamaIndex, Haystack)

Benefits & Perks

Fully remote work opportunity

Opportunity to build cutting-edge AI and Generative AI solutions

Exposure to innovative applications in automotive technology and intelligent data analytics

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Nice to Have

Experience with OpenAI, Anthropic, Ollama or other large language model platforms

Embedding optimization, hallucination reduction techniques, AI orchestration frameworks, or multi-agent systems

Knowledge of EV analytics, fleet management, IoT data, or automotive technology

Job Description

Join an innovative engineering team building advanced AI solutions that transform how businesses interact with complex operational data. In this role, you will design and develop production-grade Large Language Model (LLM) applications that enable users to access insights through natural language conversations. You will work on cutting-edge Generative AI technologies, retrieval-augmented generation systems, and intelligent data workflows that create real-world impact. This global opportunity offers the chance to shape AI-powered products from architecture to deployment while collaborating with multidisciplinary teams. If you are passionate about machine learning, conversational AI, and building scalable intelligent systems, this role provides an exciting opportunity to contribute to the future of AI-driven analytics.

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