Sales Force Developer (Agentic AI/ AI/ML)

Hi,

Manager rejected EVERYONE - Need more here! Candidates are needing legitimate GenAI experience. Candidates have not been able to showcase this.

UPDATE ON THIS ONE!! Must be onsite NOT REMOTE. Salesforce Developer role!

Hartford, CT (Onsite 2-3 days per week)

Rate: $40/hr w2

Job description is below. Please Qualified profiles to review. Thanks

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 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.

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.

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.