AI Engineer – Generative AI & Agentic AI

MACHINE LEARNING TECHNOLOGIES LLC; Florida; Hybrid; USD 90,000 - 128,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC seeks a Senior AI Engineer to design, build, and support enterprise Generative AI applications and AI agents on an existing platform. You will implement production-grade Python backends, LangChain/ LangGraph pipelines, and cloud deployments, collaborating with product teams and stakeholders.

The role emphasizes strong production experience with Python, FastAPI, LangChain, LangGraph, GCP, and GitHub Actions, with on-site work three days per week at Sunrise,

Qualifications

• 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.

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 programming

REST API design

LLM concepts

Team collaboration

Stakeholder communication

Tools

Python

FastAPI

LangChain

LangGraph

GitHub Actions

Google Cloud Platform (GCP)

Job description

Job Description

Job ID: J54923

Job Title: AI Engineer – Generative AI & Agentic AI

Location: Sunrise, FL

Duration: 13 Months + Extension

Domain Exposure: Utilities/ Energy

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Bill Rate: $79/hour (C2C)

Job Title: AI Engineer – Generative AI & Agentic AI

Location: Sunrise, Florida

Duration: 13 months

Bill Rate: $79/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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

• 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.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.