
Gen AI/ML resource with experience with either Agentforce (primarily) or Salesforce Einstein
Posted 1 week ago by 1752565773
Negotiable
Outside
Remote
USA
Summary: The role is for a Gen AI/ML resource with expertise in either Agentforce or Salesforce Einstein, focusing on developing and deploying GenAI/LLM powered applications. The position requires a strong background in AI and machine learning, along with relevant certifications and practical experience. The role is remote and spans a duration of 12 months. The candidate should possess collaborative skills and experience in Agile development environments.
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 project management.
- Collaborate effectively within an Agile development environment.
- Integrate AI models with enterprise IT systems.
Key Skills:
- Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.
- 2+ years of experience developing and deploying GenAI/LLM powered applications/products.
- 1+ years of experience building Agentic AI systems.
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch).
- Experience with Natural Language Processing (NLP) techniques.
- Experience with Reinforcement Learning (RL) algorithms.
- Experience with large datasets and cloud computing platforms (e.g., AWS, Google Cloud Platform).
- Experience with version control systems (e.g., Git).
- Strong communication and collaborative skills.
- Experience working in an Agile development environment.
- Experience with either Agentforce or Salesforce Einstein or similar CRM-integrated AI platforms.
- Experience integrating AI models with enterprise IT systems.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Position: Gen AI/ML resource with experience with either Agentforce (primarily) or Salesforce Einstein
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, 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.