AI Engineer

• 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