AI Developer
Job in
Hartford, Hartford County, Connecticut, 06103, USA
Listed on 2026-08-12
Listing for:
Echo IT Solutions
Full Time
position Listed on 2026-08-12
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
AI Developer
Location:
Hartford, CT Duration:
Contract (06 + Possible Extension)
Schedule:
Mon - Fri (Hybrid - 3 Days onsite)
Must have AI exp
RequiredSkills & 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., Tensor Flow, PyTorch, transformers, Lang Chain, Lang Graph, 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 with either Agentforce (primarily) or Salesforce Einstein or similar CRM-integrated AI platforms.
- Required experience integrating AI models with enterprise IT systems.
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 Coursera, Udemy, Deeplearning.AI etc.)
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., 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 Git Hub and other collaborative development platforms.
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