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

Robust 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?

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