Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Develop and maintain Java/J2EE applications, implement Java web services, use the Spring Framework, and integrate/build using Jenkins continuous integration.

Architect and build autonomous AI agents for revenue operations: develop agentic systems using LangChain/LlamaIndex, implement RAG and prompt engineering, integrate with Salesforce and cloud services, optimize LLM inference, and add observability and scalable deployments to drive predictive sales and customer success automation.

Open application inviting AI engineers, full-stack developers, data scientists, finance experts and others to apply. Candidates should submit a resume/LinkedIn, links to work (GitHub, Kaggle, portfolio) and a brief note explaining motivation, value they bring, and desired roles or projects.

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Support CEO and leadership on market intelligence, financial modelling, go-to-market strategy, partnerships and PMO. Run competitor analysis, size segments, build investor-ready business plans, craft value propositions and support partner negotiations while tracking cross-functional OKRs and dashboards.

SynX Therapeutics, a biotech start-up, invites speculative applications for future roles related to drug discovery and engineered biology.

Manage full-cycle recruiting, candidate pipelines, interview coordination, onboarding, employee lifecycle administration, HR recordkeeping, policy maintenance, and employee communications. Serve as first point of contact for HR questions, improve HR processes, and support a distributed workforce.

Leads and grows the engineering team, oversees customer implementations and product delivery, manages stakeholders, balances customization with core product development, and establishes engineering quality and reliability practices. The role also remains hands-on with TypeScript and Node.js coding, code reviews, debugging, and production support. Experience with AI products, healthcare workflows, HIPAA, EHR integrations, and early-stage startups is valuable.

Design and build interfaces across HUD’s AI data platform and marketplace. Translate complex agent runs, evaluation results, reward signals, and reinforcement learning workflows into clear, actionable products. Partner with users, researchers, and engineers; conduct user research; ship and refine experiences; establish reusable interaction patterns; and maintain high standards for usability, visual quality, and implementation.

Build reliable software and infrastructure for frontier AI agent research, including environment execution, trajectory collection, evaluations, experiment orchestration, data pipelines, and observability. Partner with research engineers to turn prototypes into reusable, tested systems; improve reproducibility, scalability, cost efficiency, and recovery from failed runs; and own infrastructure from design through operation.

Generate outbound pipeline for Xint by targeting enterprise and high-growth software companies, engaging AppSec and security leaders through email, phone, and LinkedIn, qualifying inbound leads, booking sales meetings, maintaining HubSpot records, attending Bay Area security events, and helping develop the outbound sales playbook.

Own full-cycle enterprise and mid-market SaaS sales, from discovery through contract signing. Build pipeline through outbound, partnerships, and demand follow-up; conduct consultative discovery; manage multi-threaded stakeholder relationships; deliver ROI-focused value narratives; and use MEDDIC, Challenger, or similar methodologies. Partner with leadership, Solutions Engineering, Marketing, RevOps, and Customer Success to close, expand, and smoothly transition accounts.

Own and consolidate the customer support knowledge base for human specialists and an AI Support agent. Audit, migrate, structure, and maintain articles, troubleshooting guides, and product documentation. Keep content current with weekly product releases, use ticket and search data to identify gaps, and build AI-assisted workflows for content creation and maintenance. Partner with Product, Engineering, AI Support, and Enablement SMEs to validate and improve knowledge quality, accuracy, and adoption.