Full-time Lead AI/ML Engineer – NLP & Generative AI Bangalore, India 7+ years About The Role We are seeking a Lead AI/ML Engineer with deep expertise in Natural Language Processing (NLP) and Generative AI to lead the design and development of advanced AI-driven solutions in the Electrification domain. You will be part of our cutting-edge AI Solutions team, guiding the architecture and implementation of production-grade LLM and Agentic AI applications.

Key Responsibilities Core Responsibilities - Architect and lead the development of NLP and Generative AI solutions, including LLM integration, RAG pipelines, and multi-agent frameworks

- Design and optimize retrieval systems using knowledge graphs and vector databases, improving contextual accuracy and semantic relevance in RAG workflows
- Apply advanced techniques (e.g., document chunking strategies, re-rankers, hybrid retrieval, query rewriting, feedback loops) to enhance RAG chain precision and reduce hallucinations
- Collaborate with ontology/domain experts to integrate structured knowledge bases and semantic relationships into the solution stack
- Leverage modern frameworks like LangGraph, LangChain, LlamaIndex, Smol Agents, and others for orchestrating agent-based and tool-augmented pipelines
- Incorporate AWS Bedrock, SageMaker, Azure ML Studio, Azure OpenAI Service, and Azure AI Foundry for cloud-native scalability and operational efficiency
- Ensure high observability and maintainability of AI solutions through robust MLOps practices, logging, and model monitoring
- Lead code/design reviews, mentor team members, and help shape long-term AI strategy and technical roadmaps
- Collaborate with product, cloud, software, and data engineering teams to deploy impactful AI capabilities in real-world settings Qualifications Education: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field Experience: 7+ years of AI/ML experience, with 3–4 years in NLP,



and 2+ years in Generative AI applications Required Skills - Expertise in designing production-grade RAG systems, including single-agent and multi-agent architectures
- Solid understanding of LLM internals, prompt engineering, fine-tuning (LoRA, PEFT), and use of open-source and hosted foundation models
- Experience with Knowledge Graphs, graph databases (e.g., Neo4j), and semantic enrichment strategies
- Proficiency in Python and hands-on experience with frameworks like LangGraph, LlamaIndex, Transformers, and SmolAgents
- Knowledge of vector databases (e.g., Azure AI Search, FAISS, Weaviate, Pinecone) and search optimization techniques
- Familiarity with model observability tools, evaluation frameworks, and performance diagnostics
- Strong experience with AWS and/or Azure managed services for AI development Preferred Skills - Experience incorporating ontologies, taxonomies, and domain-specific schemas in knowledge-enhanced AI systems
- Prior exposure to industrial AI or Electrification/Power sector challenges is a strong plus
- Knowledge of hybrid retrieval techniques combining symbolic and statistical methods
- Strong stakeholder engagement and mentoring capabilities
- Familiarity with compliance, safety, and ethical considerations in LLM deployments Submit Your Application Fill out the form below and we'll get back to you shortly. Full Name Email Address Phone Number Attach Resume (PDF or Word, Max 5MB) Click to upload your resume By applying, you agree to our terms and privacy policy Why Isarva Infotech Work-Life Balance Flexible hours and remote options Growth Opportunities Continuous learning and development Great Team Collaborative and supportive environment Competitive Package Industry-leading compensation Know someone perfect for this role Share this prospect with them! Excited about this opportunity Apply using the form above, or explore more career opportunities with Isarva Infotech.

View All Openings Learn

About culture

📌 Lead AI/ML Engineer NLP & Generative AI (Bengaluru)
🏢 ISARVA INFOTECH
📍 Bengaluru