Co-op - Agentic AI Developer

Labcorp•Durham, NC

2d•Hybrid

About The Position

Labcorp is seeking an Agentic AI Developer Co-op to join its Office of the Chief AI Officer (CAIO) Team in Burlington, NC or Durham, NC, with a hybrid work schedule. The co-op will contribute to building, testing, and deploying agentic AI systems across the enterprise, working alongside senior engineers and data scientists on real production workflows in a regulated healthcare and life sciences environment. Work may include developing AI agents with frameworks such as LangChain, LangGraph, CrewAI, and AutoGen; building cloud-based solutions using AWS Bedrock, SageMaker, and AWS AI Deep Learning Containers; and working with foundation models from OpenAI, Anthropic, Meta, and Mistral. The role also provides hands-on exposure to AI safety and governance. The co-op will support red teaming, guardrail development, human-in-the-loop controls, observability, model evaluation, and enterprise risk and compliance practices. The position is a paid co-op for Spring 2027, running January through May 2027, with an option for back-to-back Spring and Summer 2027. The work schedule is Monday through Friday, 40 hours per week.

Requirements

Currently enrolled in a Bachelor's or Graduate degree program in Computer Science, Software Engineering, Data Science, Cybersecurity, or Information Systems.
Strong written and verbal communication skills.
Initiative and ability to work independently under general supervision.
Interest in learning how agentic AI is built, deployed, and governed in a regulated enterprise.

Nice To Haves

At least one month of familiarity with Python for software development, automation, or machine learning.
At least one month of familiarity with cloud platforms such as AWS or Azure and services such as Bedrock, SageMaker, or AWS AI DLC.
At least one month of familiarity with Docker, Git, and collaborative software development practices.
At least one month of coursework or project experience in distributed systems, cybersecurity, software engineering, multi-agent systems, or reinforcement learning.
Interest in large language models, prompt engineering, or transformer architectures, with exposure to APIs or tools such as OpenAI API, Anthropic API, Hugging Face, or LangChain.
Interest in agentic AI concepts such as 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; familiarity with OWASP Top 10 for LLMs or prompt injection concepts.
Preferred candidates are sophomores, juniors, or graduate students currently enrolled in a relevant degree program.

Responsibilities

Contribute to developing AI agents using agentic frameworks to automate complex, multi-step enterprise workflows.
Help implement tool-calling architectures, function-calling interfaces, and MCP integrations with enterprise APIs, databases, and external services.
Support retrieval augmented generation pipelines using vector databases to ground agent responses in enterprise data.
Assist with AI red teaming, including adversarial prompt injection, jailbreak resistance, tool-use abuse, and multi-turn manipulation testing.
Help build and test runtime guardrails, validators, content filters, and human-in-the-loop approval gates.
Support benchmarking and evaluation of foundation models for agentic use cases, measuring accuracy, latency, cost, safety, and failure modes.
Contribute to agent observability and tracing, including structured logging, token attribution, audit trails, and cost tracking.
Prototype agentic solutions on cloud AI platforms using containerized deployments, serverless architectures, and CI/CD pipelines.
Support technical due diligence of AI startups and emerging agentic technology partners.
Contribute to AI governance, model onboarding documentation, agent risk assessments, responsible AI compliance, and alignment with healthcare and life sciences regulatory requirements.