Senior AI Engineer - Generative AI & Agentic AI

iShare Inc

New York (NY)

Hybrid

USD 165,000 - 262,000

Full time

3 days ago
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Job summary

iShare Inc. is seeking a Senior AI Engineer to build, deploy, and support enterprise Generative AI applications and AI agents on an existing AI platform.

The ideal candidate has strong production experience with Python, FastAPI, LangChain, LangGraph, GCP, and GitHub Actions. The role involves collaborating with business users, product teams, and engineers to translate requirements into reliable AI solutions, with existing team members supporting architecture and platform design.

Qualifications

  • 8–10 years of relevant experience, including at least 2 years developing GenAI/LLM solutions.
  • Strong hands-on Python and FastAPI experience for production backend services and REST APIs.
  • Practical experience with LangChain and LangGraph, including tools, stateful workflows, orchestration, and human-in-the-loop patterns.
  • Experience delivering enterprise GenAI applications to production, covering prompt design, integration, evaluation, and deployment.

Responsibilities

  • Develop production backend services and REST APIs using Python and FastAPI.
  • Build LLM chains, tool integrations, and stateful agent workflows using LangChain and LangGraph.
  • Implement orchestration, state management, and human-in-the-loop workflows.
  • Integrate enterprise data sources, business systems, and APIs into GenAI applications.
  • Design and refine prompts, evaluate output quality, and improve application performance.
  • Deploy and operate AI applications on Google Cloud Platform.
  • Build and maintain automated build, test, and deployment pipelines using GitHub Actions.
  • Support testing, troubleshooting, monitoring, and production improvements.
  • Work directly with stakeholders to clarify requirements, communicate technical decisions, and demonstrate solutions.

Skills

Python
FastAPI
GitHub Actions
Communication
GCP

Education

Bachelor’s or Master’s degree in Computer Science/Engineering/AI

Tools

LangChain
LangGraph

Job description

Job Title: Senior AI Engineer – Generative AI & Agentic AI

Location: New York or Sunrise, Florida

Work Arrangement: Hybrid — three days per week at the client office

Employment Type: Contract

Visa : H1B candidates only

Experience: 10 years overall, including 2+ years building GenAI/LLM solutions

Position Overview

We are seeking a Senior AI Engineer to build, deploy, and support enterprise Generative AI applications and AI agents on an existing AI platform. The ideal candidate has strong production experience with Python, FastAPI, LangChain, LangGraph, GCP, and GitHub Actions.

You will collaborate with business users, product teams, architects, and engineers to translate requirements into reliable AI solutions. Existing team members will support core architecture and platform design.

Key Responsibilities
  • Develop production backend services and REST APIs using Python and FastAPI.
  • Build LLM chains, tool integrations, and stateful agent workflows using LangChain and LangGraph.
  • Implement orchestration, state management, and human-in-the-loop workflows.
  • Integrate enterprise data sources, business systems, and APIs into GenAI applications.
  • Design and refine prompts, evaluate output quality, and improve application performance.
  • Deploy and operate AI applications on Google Cloud Platform.
  • Build and maintain automated build, test, and deployment pipelines using GitHub Actions.
  • Support testing, troubleshooting, monitoring, and production improvements.
  • Work directly with stakeholders to clarify requirements, communicate technical decisions, and demonstrate solutions.
Required Qualifications
  • 8–10 years of relevant experience, including at least 2 years developing GenAI/LLM solutions.
  • Strong hands‑on Python and FastAPI experience for production backend services and REST APIs.
  • Practical experience with LangChain and LangGraph, including tools, stateful workflows, orchestration, and human‑in‑the‑loop patterns.
  • Experience delivering enterprise GenAI applications to production, covering prompt design, integration, evaluation, and deployment.
  • Hands‑on experience deploying and operating applications on GCP.
  • Experience using GitHub Actions for CI/CD automation.
  • Strong communication skills and direct client or business stakeholder interaction.
  • Availability to work from the office in New York or Sunrise, Florida, three days per week.
  • Willingness to attend in‑person client interview rounds.
Preferred Qualifications
  • Production RAG experience, including chunking, retrieval, grounding, and evaluation.
  • Experience with vector databases and multi‑agent frameworks.
  • Familiarity with LLMOps, observability, and knowledge graphs.
  • Financial services industry experience.
Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.

Interview and Submission Requirements
  • Complete a camera‑on video screening, including a screenshot as required by the client.
  • Explain a production GenAI project, including personal contributions, LangChain/LangGraph workflows, FastAPI integration, GCP deployment, GitHub Actions pipelines, and quality evaluation.
  • Provide an updated resume, phone number, email address, current location, interview availability, start availability, and confirmed rate.
  • Confirm three‑day office availability and willingness to attend in‑person interviews.
  • Include a brief screening summary validating hands‑on experience with every mandatory technology.
  • For C2C submissions, confirm H1B status before submission.
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