Gen AI/ML resource with experience with either Agentforce (primarily) or Salesforce Einstein
Posted 1 week ago by 1753346871
Negotiable
Outside
Remote
USA
Summary: The role requires a Gen AI/ML resource with expertise in developing and deploying applications powered by Generative AI and Large Language Models, specifically with experience in Agentforce or Salesforce Einstein. Candidates should possess a master's degree in a relevant field and have a minimum of 2 years of practical experience in AI systems. Proficiency in Python and familiarity with various AI/ML libraries and cloud platforms are essential. Strong communication skills and experience in Agile environments are also required.
Key Responsibilities:
- Develop and deploy GenAI/LLM powered applications/products.
- Build Agentic AI systems, including planning, reasoning, and decision-making components.
- Utilize Python and relevant AI/ML libraries for application development.
- Implement Natural Language Processing (NLP) techniques for text generation, understanding, and summarization.
- Apply Reinforcement Learning (RL) algorithms for agent training.
- Work with large datasets and cloud computing platforms.
- Utilize version control systems for code management.
- Collaborate effectively in an Agile development environment.
- Integrate AI models with enterprise IT systems.
Key Skills:
- Master's degree in computer science, AI, ML, or related field.
- 2+ years of experience in GenAI/LLM applications.
- 1+ years of experience in building Agentic AI systems.
- Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch).
- Experience with NLP techniques.
- Experience with RL algorithms.
- Experience with cloud platforms (e.g., AWS, Google Cloud).
- Experience with version control systems (e.g., Git).
- Strong communication and collaboration skills.
- Experience in Agile development environments.
- Experience with Agentforce or Salesforce Einstein.
- Experience integrating AI models with IT systems.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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, Google Cloud Platform, 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.