Agentic AI Developer

What You’ll Get From This Co-op

• Medical, Dental, Vision, Life coverage
• STD/LTD insurance
• 401(k)
• Paid Time Off (PTO) or Flexible Time Off (FTO)
• Tuition Reimbursement
• Employee Stock Purchase Plan
• 401(k) Plan eligibility for employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees

Work schedule: Monday through Friday, 40 hours per week.

How You’ll Contribute

• Contribute to the development of AI agents using agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or custom orchestration layers to automate complex, multi-step enterprise workflows.
• Help implement tool-calling and function-calling architectures, including MCP (Model Context Protocol) integrations, so agents can interact with enterprise APIs, databases, and external services in a controlled and auditable way.
• Support RAG pipeline build-out with vector databases including Pinecone, Weaviate, pgvector, and OpenSearch to ground responses in authoritative enterprise data.
• Assist with AI red teaming activities such as adversarial prompt injection testing, jailbreak resistance evaluation, tool-use abuse scenarios, and multi-turn manipulation testing to identify vulnerabilities before production.
• Help build and test runtime guardrails such as input/output validators, content filters, and human-in-the-loop approval gates to enforce safe agent behavior using a defense-in-depth approach.
• Support benchmarking and evaluation of frontier foundation models including GPT-4, Claude, Llama, Gemini, Mistral, and emerging open-source models, measuring task completion accuracy, latency, cost, safety, and failure modes.
• Contribute to observability and tracing for agent execution, including structured logging, token-level attribution, decision audit trails, and cost tracking across multi-agent workflows.
• Prototype agentic solutions on cloud AI platforms such as AWS Bedrock, SageMaker, AWS AI DLC, and Azure AI, using Docker, Kubernetes, serverless architectures, and CI/CD pipelines.
• Support evaluation of AI startups and emerging agentic technology partners through technical due diligence on architectures, safety posture, and enterprise integration feasibility.
• Contribute to AI governance practices including model onboarding documentation, agent risk assessments, responsible AI compliance, and alignment with healthcare and life sciences regulatory requirements.

Minimum Qualifications

• Current enrollment in a Bachelor’s or Graduate degree program in Computer Science, Software Engineering, Data Science, Cybersecurity, or Information Systems.

Preferred Qualifications

• 1-month plus familiarity with Python for software development, automation, or machine learning.
• 1-month plus familiarity with cloud platforms (AWS, Azure) and services like Bedrock, SageMaker, or AWS AI DLC.
• 1-month plus familiarity with containerization (Docker), version control (Git), and collaborative development practices.
• 1-month plus coursework or projects in areas such as distributed systems, cybersecurity, software engineering, multi-agent systems, or reinforcement learning.

Additional Standards

• Interest in large language models, prompt engineering, or transformer architectures, including OpenAI API, Anthropic API, Hugging Face, or LangChain.
• Interest in agentic AI concepts including tool use, function calling, multi-step planning, chain-of-thought reasoning, or autonomous workflow execution.
• Interest in AI safety, AI security, adversarial testing, or responsible AI, including familiarity with OWASP Top 10 for LLMs or prompt injection concepts.
• Strong written and verbal communication skills.
• Ability to work independently under general supervision and show initiative.
• Eagerness to learn how agentic AI is built, deployed, and governed inside a regulated enterprise where safety and reliability are non-negotiable.

Technologies You’ll Work With

• LangChain, LangGraph, CrewAI, AutoGen
• MCP (Model Context Protocol), Pinecone, Weaviate, pgvector, OpenSearch
• GPT-4, Claude, Llama, Gemini, Mistral, Python
• AWS Bedrock, SageMaker, AWS AI DLC, Azure AI
• Docker, Kubernetes, AWS, Azure, Git
• OpenAI API, Anthropic API, Hugging Face
• OWASP Top 10 for LLMs, prompt injection

Co-op Program Details

• Duration: Spring 2027 (option for back-to-back Spring and Summer 2027)
• Dates of Internship: January 2027 to May 2027
• Compensation: Paid Co-op
• Eligibility: Preferred candidates are Sophomore, Junior standing, or Graduate student currently enrolled in a relevant degree program; all current students pursuing related studies are encouraged to apply.
• Reports to: Executive Director, AI Science and Strategy
• Visa sponsorship: This position is not eligible for visa sponsorship now or in the future.

What You’ll Learn on the Team

• How a Fortune 500 life sciences company architects and deploys agentic AI systems at enterprise scale using modern frameworks and cloud infrastructure.
• How AI agents automate real business workflows using tool-calling, function-calling, and multi-step orchestration patterns.
• How AI red teaming works in practice, including adversarial testing, prompt injection, jailbreak resistance, and vulnerability identification and mitigation before deployment.
• How defense-in-depth architectures enforce safe agent behavior through guardrails, observability, human-in-the-loop controls, and red team oversight.
• How frontier foundation models are benchmarked, evaluated, and selected for enterprise agentic use cases under real-world constraints (accuracy, cost, latency, safety).
• How enterprise AI governance works in regulated healthcare, including model onboarding, agent risk assessments, and responsible AI compliance.
• How Labcorp evaluates AI startups, emerging agentic frameworks, and frontier model providers to make build versus buy decisions.