Agentic AI Specialist

Inizio Partners Corp•New York, NY

About The Position

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.

Requirements

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.

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