Principal AI Engineer
Luna Bearings · Pune · onsite · Posted 2d ago
Undisclosed10–15 yrsfulltimeSourced from
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About this role
Principal AI Engineer - Generative AI
We're looking for a highly experienced and innovative Principal AIEngineer to drive the development and adoption of our LLM Platform andGenerative AI initiatives. Innovation is at the core of this role - you will beexpected to continuously push boundaries, experiment with emerging AItechniques, and translate cutting-edge research into production systems. Youwill architect scalable AI platforms, shape our engineering strategy, andprovide expert guidance across cross-functional teams.
In this role you will:
- Hands-on Development: Design, build, and test core LLM platformcomponents, Generative AI agents, and supporting tooling in Java - ensuringproduction-grade quality, performance, and reliability.
- Architecture & System Design: Lead the design andimplementation of robust, scalable systems for LLM orchestration, RAGpipelines, agent workflows (Google ADK), fine-tuning, model serving, and APIdevelopment on AWS.
- RAG & Knowledge Systems: Architect and ownRetrieval-Augmented Generation systems end-to-end - embedding pipelines, vectorstore selection and tuning, chunking strategies, retrieval evaluation, andintegration with generative models.
- Agent Engineering: Build and evolve multi-agent systems usingGoogle Agent Development Kit (ADK), defining patterns for tool use, memory,orchestration, and inter-agent communication.
- Innovation & Research: Actively track and evaluate emergingGenerative AI research, frameworks, and tools. Prototype novel ideas, runexperiments, and champion the adoption of techniques that create competitiveadvantage.
- Performance & Evaluation: Define evaluation metrics andconduct rigorous assessments of Generative AI and RAG solutions to ensurebusiness impact and continuous improvement.
- Mentorship: Mentor and inspire junior and mid-level engineers -through code reviews, pairing sessions, design guidance, and deliberateinvestment in their growth. Foster a culture of curiosity, ownership, andcontinuous learning.
- Cross-Team Guidance: Serve as the subject matter expert formultiple teams building Generative AI features - content generation, codeassistance, customer support automation, data augmentation, and more.
You've Got What It Takes If You Have...
- 10+ years of software engineering experience with a strong focuson AI/ML systems, including 3+ years hands-on with LLMs and Generative AI inproduction.
- Deep expertise in Retrieval-Augmented Generation (RAG) -including vector databases, embedding models, hybrid search, and evaluationframeworks.
- Proven track record designing and shipping complex, high-scaleAI systems on AWS (SageMaker, Bedrock, Lambda, ECS, etc.); GCP experience aplus.
- Strong Java engineering skills; experience building productionAI services and APIs in the JVM ecosystem.
- Hands-on experience with Google Agent Development Kit (ADK) orcomparable agentic frameworks (LangGraph, LangChain, etc.).
- Demonstrated passion for innovation - a track record ofintroducing new ideas, not just executing on existing ones.
- Experience mentoring engineers at various levels andcontributing to team capability growth.
- Solid understanding of data governance, privacy, and responsibleAI principles as applied to LLM systems.
- Excellent communication skills - able to translate complexAI/engineering concepts for both technical and non-technical stakeholders.
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Sourced from naukri
Skills
Aws LambdaAutomationCustomer Supportscalable systemsapissubject matter expertgoogle cloud platformamazon web servicesai engineerAi Researchvector databasesLarge Language Models (LLMs)ResearchJavaArchitectureData GovernanceSoftware EngineeringSystem DesignGenerative AiArtificial Intelligence
About Luna Bearings

Luna Bearings
Semiconductors
350
employees
1980
46 years old
Mumbai, Maharashtra
India
₹3.9L PA avg
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