- API Development and Integration (Strong), Generative AI Fundamentals (Strong), GitHub, Microsoft Azure Artificial Intelligence and Machine Learning (Strong), Prompt Engineering with LLMs (Strong).
- Minimum 7 Years of experience, 2-3 years as a lead.
- Agentic AI - Tech Lead Hands-on, real-time implementation
Job Description:
- Design, develop, and deploy autonomous AI agents capable of multi-step reasoning, planning, and decision-making in real-world applications.
- Build and orchestrate agent workflows using frameworks such as LangChain, LangGraph, and similar modern agent tooling.
- Integrate AI agents with external systems including APIs, databases, and SaaS platforms to enable end-to-end task execution .
- Develop advanced prompt engineering strategies, memory architectures, and tool-use capabilities for reliable agent behaviors.
- Deploy, monitor, and maintain AI agents in production environments, ensuring scalability, robustness, and observability.
- Optimize agent performance across latency, cost, and reliability metrics.
- Debug, evaluate, and continuously improve agent decision-making through testing, logging, and feedback loops.
- Collaborate closely with product, engineering, and data teams to embed AI agents into business-critical workflows.
- Write clean, maintainable, and production-ready code primarily in Python (experience with backend systems and APIs strongly preferred)
- Stay current with emerging agent frameworks, LLM capabilities, and best practices in applied AI systems.
Preferred Qualifications:
- Hands-on experience building and deploying AI agents into production (not just prototypes or demos)
- Strong experience with agent frameworks (e.g., LangChain, LangGraph, or equivalent ecosystems)
- Familiarity with LLM providers and tools such as GitHub Copilot or Claude
- Experience with distributed systems, async processing, and production monitoring/logging tools
- Solid understanding of software engineering fundamentals, system design, and API development