AI​/ML Engineer

Responsibilities

• Agentic AI & MCP Integration:
  Implement agentic frameworks (e.g., Lang Graph, Auto Gen) and Model Context Protocol (MCP) for secure tool orchestration.
• Generative AI Development:
  Build LLM-based applications with RAG, structured output, and evaluation frameworks.
• AWS ML Engineering:
  Deploy models using Sage Maker pipelines, ECS/ECR, Lambda; manage CI/CD and monitoring.
• Security & Identity:
  Integrate Okta/JWT token for API and service authentication; enforce token validation and claims.
• Governance :
  Deliver artifacts required by MDLC/MPLC (Model Documents, Data Dictionary, Monitoring Plan).
• Collaboration:
  
  Partner with PO, and business stakeholders to align solutions with objectives.

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 6+ years of experience across Artificial Intelligence (AI) / Machine Learning (ML) engineering, data engineering, and MLOps implementation, including:
• Designing and deploying production‑grade ML systems.
• Building scalable data pipelines and ML workflows.
• Managing model lifecycle in cloud environments.
• Proficient in Python and familiar with ML frameworks such as Tensor Flow, PyTorch, and Scikit‑learn.
• Strong understanding and experience in AWS Machine Learning Stack including:
• AWS Sage Maker
• AWS Glue
• AWS Bedrock
• AWS Lambda Functions
• Experience with Generative AI model development building LLM based applications with RAG.
• Experience implementing agentic frameworks (e.g., Lang Graph, Auto Gen) and Model Context Protocol (MCP) for orchestration.
• Knowledge of React UI, GraphDB, and GenAI model performance evaluation
• Experience with CI/CD, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
• Solid grasp of software engineering principles including testing, version control (e.g., Git), and security.
• Familiarity with the Machine Learning Development Lifecycle (MDLC) and best practices for reproducibility and scalability.
• Strong communication and collaboration skills, with experience working across technical and business teams.
• Ability to anticipate ambiguity and devise scalable solutions to address it.

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.