About Birlasoft:- Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000 professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Job Description: Senior Engineer – Agentic AI Role Overview We are seeking a highly skilled Senior Engineer – Agentic AI to design, build, and optimize advanced AI and agentic systems using Microsoft Foundry and/or AWS Bedrock . The ideal candidate will have strong expertise in Python , AI/ML fundamentals , GenAI architectures , and hands‑on experience in deploying secure, scalable LLM‑powered agents. Industry-recognized certifications in cloud, AI, or machine learning are preferred. Experience and hands on with infrastructure services like landing zone , IaaS & PaaS workload with azure and or aws cloud services Key Responsibilities AI & Agentic Systems Development Design, develop, and deploy agentic AI workflows , autonomous decision-making agents, and multi-agent systems. Build solutions leveraging Microsoft Foundry (Fabric, Azure AI Studio) or AWS Bedrock for LLM orchestration, grounding, and controllability. Implement context management, memory, retrieval-augmented generation (RAG), and tool‑calling workflows for agentic systems. Engineering & Architecture Architect scalable, resilient, and secure AI systems using modern cloud-native principles. Develop high‑quality, optimized code primarily in Python , leveraging modern ML and GenAI frameworks. Drive performance tuning, latency optimization, cost optimization, and observability for GenAI workloads.



Security & Compliance Ensure solutions follow enterprise-grade AI security , data governance , responsible AI , and model safety principles. Implement guardrails, content filters, prompt security measures, and evaluation frameworks to prevent hallucinations and injection attacks. Modeling & Optimization Evaluate and compare LLMs, embedding models, and multimodal models for various enterprise use cases. Optimize model performance using techniques like quantization, distillation, prompt engineering, and fine-tuning (where applicable). Collaboration & Leadership Partner with product teams, architects, and business stakeholders to translate requirements into robust technical AI solutions. Mentor junior engineers and contribute to establishing best practices, design patterns, and reusable accelerators. Stay updated with emerging trends in GenAI, LLMs, foundation models, and agentic automation . Required Qualifications Ability to perform customer demonstration , lead use-case workshops 9 years of hands-on experience in software engineering , with at least 1 years in AI/GenAI engineering . Solid proficiency in Python , APIs, microservices, and cloud-native design. Demonstrated experience with LLMs, embeddings, vector databases, and RAG pipelines . Practical knowledge of AI fundamentals , ML algorithms, probability, optimization, and LLM architecture. Deep understanding of Agentic AI principles , agent design patterns, tool orchestration, and autonomous task execution. Experience with Microsoft Foundry (Azure AI Studio / Fabric) and/or AWS Bedrock for building GenAI applications. Preferred Qualifications (Good to Have) Certifications such as: Microsoft Azure AI Engineer / Azure Solutions Architect AWS Machine Learning Specialty / Bedrock credentials Google Professional ML Engineer Soft Skills Strong analytical and problem‑solving abilities Ability to work in fast-paced, iterative, and collaborative environments Excellent communication and technical storytelling skills

📌 Software Engineer (Maharashtra)
🏢 Birlasoft
📍 Maharashtra