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Tensorflow Engineer Jobs in Hartford, CT (NOW HIRING)

Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch ... Preferred experience with prompt engineering and fine-tuning large language models. * Preferred ...

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Tensorflow Engineer information

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$33.3K

$94.8K

$146.8K

How much do tensorflow engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for tensorflow engineer in Hartford, CT is $94,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $109,400.00 per year, depending on experience, location, and employer.

Data Scientist/AI

3B Staffing LLC

East Hartford, CT • Remote

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Data Scientist/AI **URGENT NEED**

Hartford, CT

REMOTE

6- Months contract to hire

US or GC Only

GC or Citizens only

On a side note - We need someone who is hands on coding especially with Google tech stack developing AI agents. Python and LangChain background with ability to develop AI agents using Google ADK (Agent Development Kit) and deploy on Vertex AI infrastructure. This resource should have a good understanding of Multi Agent Orchestrator with experience in Tool/API integrations to bring in data, RAG, Model Performance and feedback, Observability, security & Ethical AI etc;

Please forward profiles that match this criteria

Required Certifications/Education:

  • Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. (Equivalent practical experience may be considered)
  • Relevant Certifications on AI, ML, GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leading industry course providers and platforms (like Courseera, Udemy, Deeplearning.AI etc.)

Required Skills & Experience:

  • Required 2+ years of experience developing and deploying GenAI/LLM powered applications/products
  • Required 1+ years of experience building Agentic AI systems, including planning, reasoning, and decision-making components.
  • Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).
  • Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.
  • Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
  • Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).
  • Required experience with version control systems (e.g., Git).
  • Required strong communication and collaborative skills.
  • Required experience working in an Agile development environment.

Required Platform Experience (One or more of the following):

  • Required experience developing agents using Google ADK and deploy on VertexAI.
  • Required experience integrating AI models with enterprise IT systems.

Preferred Skills & Experience:

  • Preferred experience with prompt engineering and fine-tuning large language models.
  • Preferred experience with knowledge graphs and semantic reasoning.
  • Preferred experience with multi-agent systems and their coordination.
  • Preferred experience with explainable AI (XAI) techniques.
  • Preferred experience with MLOps and model deployment pipelines.
  • Preferred experience with containerization technologies (e.g., Docker, Kubernetes).
  • Preferred experience with Salesforce development tools (e.g., Force.com IDE, Apex Data Loader, AutoRABIT).
  • Preferred experience with IVR Technologies (e.g., Avaya, Cisco), Chatbot development, and other conversational AI platforms.
  • Preferred experience working in an onshore/offshore support model collaborating with offshore teams.
  • Preferred experience working with GitHub and other collaborative development platforms.