Agentic AI Developer/Consultant

As an Agentic AI Developer/Consultant, your role involves designing, building, and deploying LLM-powered autonomous agents with capabilities in reasoning, tool use, and long-horizon goal execution. You will also be responsible for architecting multi-agent systems, integrating LLMs with external tools and APIs, implementing memory modules, and driving PoCs to production-grade systems within real-world constraints. Collaboration with AI Strategy and Platform teams to define reusable patterns and staying ahead in R&D are key aspects of this role. Key Responsibilities: - Design, build, and deploy LLM-powered autonomous agents with reasoning capabilities - Architect multi-agent systems for coordination and parallelized task execution - Integrate LLMs with external tools, APIs, databases, and reasoning engines - Implement memory modules, retrieval-augmented generation, dynamic prompt orchestration, and self-evaluation protocols - Drive PoCs to production-grade systems considering latency, auditability, scale, and failure tolerance - Collaborate with AI Strategy and Platform teams to define reusable patterns and guardrails Qualifications Required: - 8+ years in software engineering or AI system development, with at least 2+ years in LLMs, agents, or similar paradigms - Deep experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom-built agentic stacks - Proficiency in Python, with strong software design fundamentals - Proven ability to build production-grade AI systems and understanding of task decomposition, feedback loops, and prompt engineering at scale - Bonus: Exposure to real-world deployments in fintech, insurtech, digital operations, or enterprise process automation In this role, success is defined by your ability to architect thinking, reasoning systems based on user stories with minimal human intervention, writing new pages in the agentic AI playbook, and delivering value through output that ships, scales, and solves problems. Joining our team offers you a high-autonomy, high-accountability culture, early mover advantage in agentic systems within enterprise contexts, direct access to leadership, sharp peers, and meaningful problems, competitive compensation, high-growth trajectory, and global exposure.,