Position: Gen AI/ Agentic AI Engineer (Salesforce Agnetforce MCP) Location: Remote Duration: 12 months 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 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.