Agentic AI Lead

Overview We are seeking a highly experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This role requires deep hands-on experience with multi-agent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities.
This is a hands-on technical leadership role , not an execution-only developer position.
Not a execution‑only or fully prescriptive role Not an execution‑only LangChain / prompt‑engineering position
Not a role where architectural decisions are fully prescribed by others
Responsibilities Note: This section reflects the conceptual responsibilities implied by the description. Specific day-to-day tasks are not enumerated beyond the role expectations described above.
Required Qualifications 11+ years of experience in AI/ML, data science, or backend engineering, with significant hands-on work in agentic or GenAI systems
Proven experience building production-grade agentic AI systems, not just prototypes or demos
Responsible for prompt engineering and agent orchestration
Evaluation methodologies for LLM and agentic systems
Demonstrated ability to make independent architectural and model decisions
Strong SQL skills for data analysis and debugging
Proficiency in Python and modern AI/ML tooling
Nice to have Experience deploying agentic systems in enterprise or regulated environments
Exposure to MLOps, monitoring, and post-deployment optimization
Experience aligning AI system performance with business goals

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