Job Description

Responsibilities:

• Design, build, and deploy end‑to‑end agentic AI solutions, spanning frontend interfaces, backend services, and autonomous agent workflows.
• Develop autonomous and semi‑autonomous agents capable of planning, task decomposition, tool selection, execution, and self‑correction.
• Implement agent orchestration logic using modern agent frameworks, enabling multi‑step reasoning and coordinated agent behavior.
• Design and maintain RAG pipelines, embeddings, vector databases, and memory/state management for contextual grounding.
• Build secure and scalable backend APIs and services to support agent execution, tool calling, and workflow automation.
• Develop user‑facing interfaces for agent interaction, monitoring, and feedback using modern web frameworks.
• Integrate agents with enterprise systems and external tools via APIs, function calling, and workflow orchestration.
• Deploy, monitor, and optimize agentic systems on cloud platforms, ensuring reliability, observability, performance, and cost efficiency.
• Implement guardrails, evaluation, and monitoring to reduce hallucinations and ensure safe, predictable agent behavior.
• Collaborate with cross‑functional and global teams to translate business problems into production‑ready agentic solutions.
• Engage directly with stakeholders and clients, communicating agent capabilities, limitations, and solution outcomes clearly.
• Continuously improve agent performance through experimentation, telemetry analysis, and iterative refinement

Candidate Profile:

• Bachelor's or Master's degree in Computer Science, AI, Engineering, Data Science, or equivalent hands‑on industry experience.
• Proven experience delivering end‑to‑end agentic AI solutions, covering frontend, backend, and autonomous agent workflows.
• Hands‑on expertise with agentic frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
• Strong experience building autonomous or semi‑autonomous agents with planning, task decomposition, tool use, and self‑reflection.
• Advanced prompt engineering skills for agent behavior, planning, constraints, and guardrails.
• Practical experience with RAG pipelines, embeddings, vector databases, and agent memory/state management.
• Ability to enable agents to take actions via APIs, function/tool calling, and workflow orchestration.
• Strong backend development skills (Python/Java) and API‑driven system design.
• Frontend experience using modern web frameworks (e.g., React, Angular) for agent interaction and monitoring.
• Experience deploying agentic systems on cloud platforms (Azure, AWS, or GCP) with CI/CD, observability, and cost awareness.
• Proficiency working with structured and unstructured data, including ingestion and retrieval optimization.
• Experience integrating AI solutions into enterprise environments with security and access controls.
• Strong client‑facing, communication, and problem‑solving skills.
• Comfortable working in fast‑paced, evolving AI environments and global, cross‑functional teams.