

NextGen | GTA: A Kelly Telecom Company
Machine Learning Engineer (GenAI / AIOps)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (GenAI / AIOps) with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, LangChain, FastAPI, Docker, and GCP. Requires 4+ years of Python experience and 2+ years with LangChain.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
April 29, 2026
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Plano, TX
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π§ - Skills detailed
#Deployment #ML (Machine Learning) #AI (Artificial Intelligence) #Docker #GCP (Google Cloud Platform) #SQL (Structured Query Language) #FastAPI #Observability #Langchain #PostgreSQL #Python #Cloud
Role description
Weβre looking for an experienced AIOps Engineer to design, build, and deploy production-grade AI agent systems on an enterprise GenAI platform. This role is hands-on across the full lifecycle β from agent architecture to cloud deployment β with a strong focus on simplicity, reliability, and measurable ROI.
What Youβll Do
β’ Build multi-agent systems using LangGraph, LangChain, and Google ADK following A2A and MCP protocols
β’ Develop and expose AI services using FastAPI (async + streaming)
β’ Manage cloud deployments on GCP Cloud Run, including Docker, CI/CD, and rollout strategies
β’ Instrument and monitor systems using LangSmith (tracing, evaluation pipelines, prompt versioning)
β’ Apply advanced context engineering techniques (RAG, token optimization, structured outputs)
β’ Ensure deterministic, production-grade implementations β using agents only when necessary
Required Skills
β’ 4+ years of Python engineering in production environments
β’ 2+ years with LangChain / LangGraph (v1.x) (stateful agents, graph compilation, checkpointing)
β’ Hands-on experience with LangSmith
β’ Strong expertise in FastAPI (async endpoints, middleware, background processing)
β’ Proficiency with Docker and GCP (Cloud Run, Cloud Build, Artifact Registry, Cloud SQL, Secret Manager)
β’ Experience with PostgreSQL for state management and persistence
Preferred Qualifications
β’ Experience with Google ADK, DSPy, LiteLLM, Vertex AI / Gemini
β’ Familiarity with A2A / MCP protocols
β’ Exposure to observability tools like New Relic or Galileo
We are Connectors. We thrive on βquality over quantityβ and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner!
We are Collaborators. Youβll be working with a wholly owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services donβt stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support.
We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page!
Weβre looking for an experienced AIOps Engineer to design, build, and deploy production-grade AI agent systems on an enterprise GenAI platform. This role is hands-on across the full lifecycle β from agent architecture to cloud deployment β with a strong focus on simplicity, reliability, and measurable ROI.
What Youβll Do
β’ Build multi-agent systems using LangGraph, LangChain, and Google ADK following A2A and MCP protocols
β’ Develop and expose AI services using FastAPI (async + streaming)
β’ Manage cloud deployments on GCP Cloud Run, including Docker, CI/CD, and rollout strategies
β’ Instrument and monitor systems using LangSmith (tracing, evaluation pipelines, prompt versioning)
β’ Apply advanced context engineering techniques (RAG, token optimization, structured outputs)
β’ Ensure deterministic, production-grade implementations β using agents only when necessary
Required Skills
β’ 4+ years of Python engineering in production environments
β’ 2+ years with LangChain / LangGraph (v1.x) (stateful agents, graph compilation, checkpointing)
β’ Hands-on experience with LangSmith
β’ Strong expertise in FastAPI (async endpoints, middleware, background processing)
β’ Proficiency with Docker and GCP (Cloud Run, Cloud Build, Artifact Registry, Cloud SQL, Secret Manager)
β’ Experience with PostgreSQL for state management and persistence
Preferred Qualifications
β’ Experience with Google ADK, DSPy, LiteLLM, Vertex AI / Gemini
β’ Familiarity with A2A / MCP protocols
β’ Exposure to observability tools like New Relic or Galileo
We are Connectors. We thrive on βquality over quantityβ and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner!
We are Collaborators. Youβll be working with a wholly owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services donβt stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support.
We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page!






