Senior Software Engineer – AI & Data

Role Overview As a Senior Software Engineer – Gen AI Agentic, you will be a core contributor to the design and development of intelligent, autonomous agents powered by Generative AI. This is a hands-on engineering role focused on building novel agentic systems that can reason, plan and act independently across complex workflows.

You will work at the intersection of LLMs, orchestration frameworks and real-world applications—driving innovation from concept to scalable implementation. This role is ideal for individuals who thrive on creating new technologies and shaping the future of AI.

Key Responsibilities

Delivery and Execution Design and develop autonomous Gen AI agents capable of reasoning, planning and executing tasks across diverse domains. Engineer agentic workflows using LLMs, tool integrations, memory modules and orchestration layers to enable complex task automation. Prototype and iterate on novel agent behaviors, including multi agent collaboration, tool use and adaptive decision-making.

Build scalable RAG pipelines that combine LLMs with semantic search and domain-specific knowledge bases. Optimize agent performance for latency, accuracy, and contextual awareness in real-world applications. Collaborate with cross-functional teams including product, design, and research to translate ideas into production-ready systems.

Support and Enablement Mentor junior engineers and contribute to a culture of innovation and technical excellence. Continuously evaluate emerging Gen AI tools, models and frameworks for potential adoption and experimentation. Document engineering patterns, reusable components and best practices to accelerate future development.

Contribute to the foundational engineering setup of the new global technology center, including tooling, architecture and standards. Engage in internal innovation forums and external AI communities to stay ahead of trends and share learnings.

Requirements

Bachelor’s or Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field. Certification in Generative AI Engineering (e.g., Deep. Learning.AI, NVIDIA GenAI) will be an added advantage. Cloud AI/ML Certifications (preferably GCP) will be an added advantage, Required Experience: 4–7 years of software engineering experience, with at least 2 years in Gen AI or LLM-based application development.

Demonstrated experience in building and deploying agentic systems or autonomous AI applications. Strong background in designing scalable, modular and production-ready AI architectures. Essential Skills: Hands-on experience with Google Cloud Platform (GCP) is strongly preferred . Proficient in Python for AI/ML development and orchestration logic.

Hands-on experience with agentic frameworks like Lang. Chain, Auto. Gen, CrewAI or Open. Agents. Deep understanding of LLMs (e.g. Gemini, LLaMA) and their APIs. Skilled in building RAG pipelines and integrating vector databases like FAISS, Pinecone or Weaviate. Experience with cloud-native AI development on Google Cloud Platform.

Familiar with containerization and deployment using Docker and Kubernetes. Desired Skills: Exposure to multi-agent collaboration and agentic planning strategies. Understanding of Responsible AI, model evaluation, and ethical AI design. Strong grasp of software engineering practices including Git, CI/CD, and testing frameworks.

Benefits

Be part of a globally recognized leader in the home improvement sector, committed to operational excellence and sustainability. Opportunity to contribute to a rapidly expanding Global Technology Center (GTC) in Chennai, playing a vital role in global operations. Exposure to diverse global technology environment and cross-functional team collaborations.

Competitive compensation package and comprehensive benefits. Clear pathways for career advancement and continuous learning opportunities within a high-performance organization.