We are looking for: Senior Software Engineer (AI/ML Engineer Generative AI & NLP)

You'll make an impact by:

Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and techniques (NER, embeddings, summarization, etc.).
Build and productionize RAG pipelines and agentic workflows to support intelligent, context-aware applications.
Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for domain-specific use cases.
Collaborate with data scientists, backend developers, and cloud architects to build scalable Aifirst systems.
Evaluate and integrate third-party models/APIs and open-source libraries for generative use cases.
Continuously monitor and improve model performance, latency, and accuracy in production settings.
Implement observability, performance monitoring, and explainability features in deployed models.
Ensure solutions meet enterprise-level requirements for reliability, traceability, and maintainability.

Use your skills to move the world forward!

Master's or Bachelor's degree in Computer Science, Machine Learning, AI, or a related field.

5+ years of overall experience in AI/ML, with at least 2+ years in NLP and 1-2 years in Generative AI.
Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and vector search.
Experience in designing and deploying RAG pipelines and working with multi-step agent architectures.
Proficiency in Python and frameworks like LangChain, Transformers (HuggingFace), LlamaIndex, SmolAgents, etc.
Familiarity with ML observability and explainability tools (e.g., TruEra, Arize, WhyLabs).
Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry.
Experience in integrating LLM-based agents in production environments.
Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues).
Familiarity with LangGraph, function calling, and tools for orchestration in agent-based systems.
Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines.
Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus.

This role is based in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

Senior AI/ML Engineer â€“ Generative AI & NLP

Job Description