Agentic AI/Gen AI Engineer – Hartford, CT (Day 1 Onsite)

Job Title: Agentic AI/Gen AI Engineer

Location: Hartford, CT (Day 1 Onsite)

Job Type: Contract

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 Coursera, 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 with either Agentforce (primarily) or Salesforce Einstein or similar CRM-integrated AI platforms.

·         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.