Admedabad
5 Positions
Full Time Employee
Job Description:
We are looking for a highly skilled Senior Agentic AI Developer to design, develop, and deploy intelligent AI agents that can autonomously reason, plan, and take action across enterprise use cases. You will work at the intersection of Large Language Models (LLMs), multi-agent systems, orchestration frameworks, and real-world business applications, leading innovation in Agentic AI solutions.
Key Responsibilities:
- Architect & Develop AI Agents: Build scalable and adaptive AI agents capable of reasoning, planning, tool usage, and decision-making.
- Framework Expertise: Leverage and extend modern frameworks such as LangChain, AutoGen, LlamaIndex, Haystack, or custom orchestration pipelines.
- LLM Integration: Fine-tune, prompt-engineer, and integrate OpenAI, Anthropic, LLaMA, Mistral, or Azure OpenAI models for agentic workflows.
- Multi-Agent Systems: Design collaborative and competitive agent environments for complex problem-solving.
- Tool & API Integration: Connect agents with enterprise APIs, RPA systems, knowledge graphs, and external tools for autonomous task execution.
- Optimization & Scalability: Ensure performance, efficiency, and reliability in deploying agents at scale.
- Research & Innovation: Stay updated on emerging trends in Autonomous AI, reasoning engines, and agent safety to drive best practices.
- Mentorship & Leadership: Guide junior developers, review code, and collaborate with data scientists, ML engineers, and solution architects.
Nice to Have:
- Exposure to multi-modal AI (vision + language + speech agents).
- Background in Reinforcement Learning (RLHF, PPO, DPO).
- Contributions to AI research papers or open-source projects.
- Familiarity with MLOps & CI/CD pipelines for AI.
Skills & Competencies:
- Technical Excellence: Deep understanding of LLMs, orchestration, and multi-agent design.
- Problem-Solving: Ability to break down complex problems into structured AI workflows.
- Innovation Mindset: Passion for experimenting with emerging AI frameworks and paradigms.
- Collaboration: Strong cross-functional communication with product teams, data engineers, and business stakeholders.
- Leadership: Capable of mentoring junior team members and setting best practices.