Lead Software Engineer- Gen AI, NLP, ML

Overview

Lead a team designing and developing generative and agentic AI, NLP and machine learning solutions that support the Consulting & Insights Technology strategy.

What you'll do

• Design and develop algorithms and AI solutions using LLMs, NLP, deep learning, generative AI, information retrieval, and feedback-based techniques for agentic AI, knowledge retrieval, summarization, RAG, and related applications.
• Design agent architectures, including planning, tool use, memory, orchestration, multi-step reasoning, feedback loops, and execution control.
• Develop data-processing and representation techniques that transform unstructured text and other data into structured formats for modeling, retrieval, and analysis.
• Build evaluation frameworks and benchmarks to assess LLM and agent performance across accuracy, relevance, groundedness, helpfulness, safety, latency, and cost.
• Optimize model performance through prompt engineering, retrieval optimization, reranking, embedding techniques, model selection, and fine-tuning.
• Design AI-focused guardrails and mitigation approaches, including input and output validation, hallucination mitigation, policy adherence, responsible AI practices, and human-in-the-loop review, in collaboration with security and platform teams.
• Apply NLP, machine learning, statistical analysis, and information retrieval techniques to identify patterns, relationships, and insights in complex data.
• Translate business requirements into applied AI approaches, algorithm designs, experiments, and measurable outcomes.
• Stay current with emerging LLM architectures, foundation models, agent frameworks, retrieval techniques, and AI research.
• Lead technical discussions and mentor team members on algorithms, modeling approaches, experimentation, and AI best practices.

What you'll need

• 6–8 years of professional experience in applied AI/ML, data science, machine learning, algorithms, statistics, or a related technical field, including hands-on experience developing and evaluating AI solutions using NLP, deep learning, LLMs, retrieval, and agentic AI.
• A bachelor's or master's degree in Engineering, Data Science, Computer Science, or a related field is required.
• Hands-on experience developing and evaluating machine learning and NLP solutions, including transformer architectures, deep learning, embeddings, information retrieval, classification, ranking, summarization, question answering, and agent decision-making.
• Experience working with LLMs and foundation models, such as OpenAI, Anthropic, Cohere, Llama, or equivalent technologies.
• Experience building generative AI and agentic AI solutions using technologies such as LangChain, LangGraph, RAG, prompt engineering, MCP, or equivalent frameworks.
• Experience evaluating LLM and agent performance across accuracy, relevance, groundedness, helpfulness, safety, latency, and cost.
• Experience designing AI-focused guardrails and applying responsible AI practices, including hallucination mitigation, output validation, policy adherence, and human oversight.
• Demonstrated ability to identify emerging AI technologies and apply them to meaningful business use cases.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Details

• Location: Chennai.
• Work mode: Hybrid.