AgenticAI Engineer at Remote | W2 requirement

AgenticAI Engineer at Remote | W2 requirement

Posted 1 day ago by 1752296774

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Negotiable
Outside
Remote
USA
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Summary: The AgenticAI Engineer role involves supporting the GPS program through engineering and architecture contributions. The position requires expertise in developing and deploying GenAI/LLM powered applications, with a focus on Agentic AI systems. Candidates should possess relevant educational qualifications and certifications in AI and ML, along with practical experience in the field. This is a remote position with a contract duration of 12+ months.

Key Responsibilities:

  • Support the GPS program from an engineering and architecture perspective.
  • Develop and deploy GenAI/LLM powered applications/products.
  • Build Agentic AI systems, including planning, reasoning, and decision-making components.
  • Integrate AI models with enterprise IT systems.
  • Collaborate in an Agile development environment.

Key Skills:

  • Master's degree in computer science, AI, ML, or related field.
  • 2+ years of experience in developing GenAI/LLM applications.
  • 1+ years of experience with Agentic AI systems.
  • Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch).
  • Experience with NLP techniques and Reinforcement Learning algorithms.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud).
  • Strong communication and collaborative skills.
  • Experience with version control systems (e.g., Git).
  • Experience with CRM-integrated AI platforms (e.g., Agentforce, Salesforce Einstein).

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Title : AgenticAI Engineer

Location : Remote

Job Type : 12+ Months Contract

Interview Mode: Video

Client is looking to add 2 AgenticAI Engineers. This team supports the GPS program from an engineering and architecture perspective.

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.
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