

Nicoll Curtin
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a contract basis in Middletown, NJ. Key skills required include LLMs, prompt engineering, agentic AI frameworks, vector databases, and Python (FastAPI/Flask). Telecom experience is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Middletown, NJ
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🧠 - Skills detailed
#Kubernetes #AI (Artificial Intelligence) #Python #AWS (Amazon Web Services) #Langchain #Flask #TensorFlow #Deep Learning #Docker #PyTorch #FastAPI #Azure #Databases #GCP (Google Cloud Platform) #ML (Machine Learning)
Role description
We’re partnering with IBM on an exciting hands‑on ML Engineer role supporting AT&T’s next‑gen AI initiatives in Middletown, NJ. If you love building real LLM applications (not just research), this is for you.
📍 Location: Middletown, NJ (Hybrid – onsite required)
💼 Type: Contract
✨ What You’ll Work On
• Build production‑grade LLM applications (OpenAI / Azure OpenAI)
• Prompt engineering, function calling & RAG pipelines
• Develop agent workflows (LangChain, LangGraph, CrewAI, AutoGen)
• Work with vector databases (pgvector, Pinecone, Chroma, Weaviate)
• Build Python services using FastAPI / Flask
• Fine‑tune + evaluate models (PyTorch / TensorFlow)
• Integrate APIs + orchestrate workflows at scale
• Collaborate with IBM + AT&T engineering teams on advanced GenAI systems
✔️ Must‑Have Skills
• LLMs (OpenAI / Azure OpenAI or similar)
• Prompt engineering + RAG
• Agentic AI frameworks (LangChain / LangGraph / CrewAI / AutoGen)
• Vector databases (pgvector / Pinecone / Chroma / etc.)
• Python backend (FastAPI / Flask)
• Deep Learning (PyTorch / TensorFlow)
➕ Nice to Have
• Azure, AWS, or GCP
• Docker / Kubernetes
• Real‑time systems, Document AI, Voice AI
• Telecom background (AT&T, Verizon, T‑Mobile, etc.)
🔥 Who This Is For
You’re a hands‑on builder who has shipped GenAI/LLM applications to production — not someone who’s only worked in research or experiments. You know how to take a model, optimize it, integrate it, and deploy it at scale.
We’re partnering with IBM on an exciting hands‑on ML Engineer role supporting AT&T’s next‑gen AI initiatives in Middletown, NJ. If you love building real LLM applications (not just research), this is for you.
📍 Location: Middletown, NJ (Hybrid – onsite required)
💼 Type: Contract
✨ What You’ll Work On
• Build production‑grade LLM applications (OpenAI / Azure OpenAI)
• Prompt engineering, function calling & RAG pipelines
• Develop agent workflows (LangChain, LangGraph, CrewAI, AutoGen)
• Work with vector databases (pgvector, Pinecone, Chroma, Weaviate)
• Build Python services using FastAPI / Flask
• Fine‑tune + evaluate models (PyTorch / TensorFlow)
• Integrate APIs + orchestrate workflows at scale
• Collaborate with IBM + AT&T engineering teams on advanced GenAI systems
✔️ Must‑Have Skills
• LLMs (OpenAI / Azure OpenAI or similar)
• Prompt engineering + RAG
• Agentic AI frameworks (LangChain / LangGraph / CrewAI / AutoGen)
• Vector databases (pgvector / Pinecone / Chroma / etc.)
• Python backend (FastAPI / Flask)
• Deep Learning (PyTorch / TensorFlow)
➕ Nice to Have
• Azure, AWS, or GCP
• Docker / Kubernetes
• Real‑time systems, Document AI, Voice AI
• Telecom background (AT&T, Verizon, T‑Mobile, etc.)
🔥 Who This Is For
You’re a hands‑on builder who has shipped GenAI/LLM applications to production — not someone who’s only worked in research or experiments. You know how to take a model, optimize it, integrate it, and deploy it at scale.





