Job Description

QUALIFICATIONS

• Minimum of four (4) years of experience with the following:
  • AI/ML engineering or advanced data science
  • Building and deploying production-grade autonomous agents
  • Context engineering
  • LangChain, LangGraph, CrewAI, or AutoGPT
  • Implementing RAG architectures using vector databases
  • Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
  • Integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
  • Implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls
  • Data privacy and handling of sensitive data (PII/PHI)

PREFERRED

• Minimum of two (2) years of experience with the following:
  • Building multi-agent or autonomous agentic workflows
  • Optimizing LLM cost, token usage, and performance
  • Enterprise AI deployment patterns and scalability considerations

RESPONSIBILITIES

• Researching, designing, implementing, and managing software programs.
• Testing and evaluating new programs.
• Working closely with other developers, UX designers, and business and systems analysts.
• Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.

Link Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, gender identity/expression, sexual orientation, national origin, protected veteran status, disability, or any other factors protected by law.