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Tier-1 employer, mid-level 3+ years requirement, and Bengaluru location increase candidate competition.
Specialized LLM, agent orchestration, and MLOps requirements limit cross-industry transferability.
Explicit 3+ years and mandatory LLM, MLOps, and agent engineering skills impose strict filters.
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Design, develop, and maintain secure, high-quality software solutions for AI/ML agentic systems including prompt/tool orchestration, state management, and retrieval/grounding methods.
Produce architecture and design artifacts for complex AI applications such as multi-agent systems and Agentic RAG pipelines, ensuring implementation meets design constraints.
Leverage enterprise-authorized AI-assisted development tools to improve code quality and delivery; integrate agents with enterprise systems via secure APIs and implement evaluation frameworks for models and agents.
Formal software engineering training or certification with at least 3 years of applied experience.
Proficiency in coding languages such as Python, Java, TypeScript/Node.js, or Go with experience in API design, distributed systems, and databases.
Experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs for correctness, security, and performance.
Strong knowledge of Software Development Life Cycle including MLOps/LLMOps, CI/CD, security, resiliency, observability, and agile methodologies.
Experienced in AI/ML engineering with practical knowledge of LLMs, agent orchestration, retrieval systems and/or data engineering within large corporate environments.
Skilled in developing complex AI/agent architectures such as Agentic RAG solutions and managing safe, compliant AI workflows with responsible AI practices.
Comfortable working with AI development tools and integrating AI agents via APIs, with experience in evaluation/testing frameworks and operationalizing AI systems securely.