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Senior AI Developer

1 month ago


Rajkot, Gujarat, India Data-Hat AI Full time

**Comprehensive Framework for Responsible AI Development**

Data-Hat AI specializes in Agentic Architecture—a comprehensive framework designed to enable enterprises to maximize the potential of their data and AI initiatives. Our solutions support strategic impact and operational excellence by automating business processes and enhancing human decision-making through intelligent agents.

**Role Description**

This is a full-time remote role for a Senior AI/GenAI and AI Agent Developer. Responsibilities include designing software solutions, collaborating with cross-functional teams to optimize workflows, and ensuring the reliability of AI systems. The role also involves refining and improving data quality to build robust knowledge bases and predict future outcomes.

**Key Responsibilities:**

  • Spearhead the end-to-end development of Gen AI and Agentic AI products from initial design to deployment of autonomous agents.
  • Architect and orchestrate sophisticated AI agent workflows using LLMs and frameworks like LangChain and LangGraph.
  • Design and implement robust Responsible AI frameworks for both generative models and autonomous agent behavior.
  • Develop strategies to integrate knowledge graphs with LLMs and AI agents, enhancing reasoning and contextual understanding.
  • Build scalable and reliable data pipelines for training, evaluating, and monitoring AI and agentic systems.
  • Implement and champion MLOps best practices for deploying, monitoring, and maintaining AI models and agents in production.
  • Design and develop robust APIs and communication protocols for seamless integration of AI agents and Gen AI models.
  • Engage in hands-on development, contributing directly to the core functionalities of AI agents and Gen AI features.
  • Stay at the cutting edge of AI advancements, continuously learning and implementing new techniques in Gen AI and Agentic AI.
  • Architect and deploy scalable, cloud-native AI and agentic solutions, collaborating effectively across multidisciplinary teams.

**Qualifications:**

  • Proven expertise in developing and deploying Gen AI models and orchestrating AI Agents using LangChain and LangGraph.
  • Deep understanding of LLM fine-tuning, prompt engineering, and RAG techniques within agentic system contexts.
  • Demonstrated ability to implement Responsible AI principles for both generative models and autonomous agents.
  • Strong knowledge of knowledge graph concepts and practical experience integrating them with AI models and agents.
  • 3+ years of solid foundation in machine learning, 5+ years of Python, and proficiency in relevant AI/ML libraries.
  • Hands-on experience with cloud platforms (AWS and/or Azure) and implementing MLOps for AI and agent lifecycles.
  • Experience designing and developing APIs for integrating AI models and enabling effective agent communication.
  • A proactive, visionary, and results-oriented mindset with a passion for building groundbreaking intelligent systems.
  • Excellent communication and collaboration skills to effectively lead and work within diverse teams.
  • An advanced degree in AI, Computer Science, or a related field, or equivalent deep industry experience in Agentic and Generative AI.