Langgraph Jobs in Raleigh, NC (NOW HIRING)

Senior Agentic AI Engineer
Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systemsfor the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents, andcopilots using modern AI/ML techniques.

You will work closely with cross-functional teams, including business stakeholders, data engineers, andtechnical leads, to ensure alignment between business needs and data architecture and define datamodels for specific focus areas.
What you'll work on

Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models andensure the success delivery of projects
Develop agents over our construction data estate, systems that answer non-trivial questions, takemulti-step action against APIs and databases, and operate under governance constraints that matter.
Tool-use and orchestration design in LangGraph: defining the right granularity of tools, the right statemachines, and the right human-in-the-loop checkpoints for a domain where wrong answers have real-world consequences.
Evaluation infrastructure for non-deterministic systems: building harnesses, golden datasets, andregression tests that let us ship agentic features with confidence. We treat eval as a first-classengineering problem, not an afterthought.
Retrieval and knowledge architecture spanning Snowflake Cortex, vector search, and structuredgraphs over our project data. You'll make real decisions about when retrieval is the answer and whenit isn't.
Integration with our domain systems: partnering with engineers and analysts working on safety,operations, scheduling, and risk to turn agentic capabilities into tools superintendents and PMs use.
Technical direction-setting across the Agentic AI track: design reviews, architectural guidance, raisingthe bar on what "production-ready" means for agents, and mentoring engineers earlier in theiragentic AI journey.
Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategicrecommendations.
Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AImodel development, deployment, and maintenance.
Required Experience

6+ years of production software engineering, with at least 2 years building LLM-powered systems in aproduction setting.
Demonstrated experience designing and shipping agentic systems using LangChain and LangGraph orcomparable frameworks.
Strong Python engineering fundamentals: testing, packaging, performance, and the parts of the stackthat aren't glamorous.
Practical experience with retrieval architectures (vector stores, hybrid search, reranking) and with atleast one major cloud data platform.
Track record of evaluation work, you can describe specific eval systems you've built and what theycaught that ad-hoc testing missed.
Excellent written and verbal communication, with experience presenting technical work to non-technical stakeholders.

Bonus

Snowflake and Snowflake Cortex (Cortex Search, AI_COMPLETE, Cortex Analyst).
Experience with knowledge graphs or graph-augmented retrieval.
Familiarity with construction, AEC, or other physical-industry domains.
Experience working under AI governance frameworks like model risk, responsible AI, intake processes.
Open-source contributions to the LangChain/LangGraph ecosystem or related agentic tooling.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.