lead Engineer – Agentic AI (Engineering Workflow Automation)

Skip to main contentOur CompanyOur BusinessSearch for JobsJoin Talent NetworkFAQsProfileEnglishSign InSingle PositionView All Jobslead Engineer – Agentic AI (Engineering Workflow Automation)Bangalore, India No longer accepting applications.Job ID3084345Staff Software Engineer — Agentic AI in VLSI DomainRole OverviewWe are looking for a Staff‑level Software Engineer to design and build AI‑native, agentic software systems used in complex, large‑scale engineering workflows. This role focuses on production‑grade software development, with strong ownership of automation, evaluation frameworks, benchmarking, grounded in a deep understanding of agentic architectures, system failure modes, and best practices for AI‑native software engineering.Key ResponsibilitiesDesign, develop, and maintain AI‑native software platforms that orchestrate and evaluate agent‑based workflows.Drive software architecture and design decisions to build scalable, modular systems with clear abstractions, robust interfaces, and sustainable engineering practices.Architect automation and evaluation frameworks to validate correctness, robustness, performance, cost, and stability of agentic systems.Build and own benchmarking pipelines that enable repeatable, comparable evaluation across models, agents, configurations, and releases.Apply strong engineering judgment around agentic system trade‑offs, including non‑determinism, feedback loops, tool‑invocation failures, and error propagation.Establish best practices for production‑grade AI software, including modular design, observability, fault isolation, and reproducibility.Collaborate with software, ML, systems, and infrastructure teams to improve reliability and testability.Drive technical direction, engineering rigor, and code quality through design and code reviews.Mentor engineers and influence architecture through technical leadership.Required Skills & Experience8+ years of professional software engineering experience with ownership of complex, multi‑component systems.Strong proficiency in Python and experience building large, maintainable codebases and frameworks.Hands‑on experience designing automation, evaluation, or testing frameworks for complex systems.Strong understanding of agentic system architectures, common failure modes, and operational pitfalls.Experience building CI/CD pipelines with automated quality, evaluation, and release gates.Solid grasp of distributed systems or platform‑scale software engineering concepts.Ability to reason about non‑deterministic systems and design reliable evaluation strategies.Strong debugging skills and ability to collaborate across teams.Preferred QualificationsExperience working with AI agents, orchestration frameworks, or multi‑step AI workflows.Exposure to benchmarking platforms, leaderboards, or evaluation harnesses.Familiarity with MLOps and observability platformsFamiliarity with building scalable data pipelinesExperience with HPC, heterogeneous compute, or large‑scale execution environments.MS or PhD in Computer Science, Electrical Engineering, or related field.