Location: Charlotte NC, Raleigh NC, Irving TX
Schedule: Hybrid - 3 Days Onsite
Duration: 12 Month W2 Contract
What You’ll Do
- Design and build AI-driven automation solutions
- Orchestrate semi-autonomous / agent-based systems
- Apply best practices for deploying AI in production environments
- Collaborate closely with engineering teams to deliver scalable solutions
Required Skills:
- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- 2+ years of strong understanding of multi-cloud environments (Azure, GCP, OpenShift) and hands-on experience with cloud-native development and/or Cloud migration of applications
- 1+ years knowledge of retrieval-augmented generation (RAG) and/or agentic workflows in generative AI
- Applications
- 5-10 years of engineering experience (could be Java Engineers who transitioned to Python)
- 2+ years of Python engineering
- AI concepts (know frameworks for building agents, tech agnostic)
- SDLC
Preferred Skills:
- Proficiency in DevOps tools and practices, including infrastructure as code.
- Strong experience collaborating with product and business stakeholders to deliver valuable and user-centric solutions.
- Financial industry experience or familiarity with regulatory and compliance requirements.
- Demonstrated ability to balance technical excellence with business priorities.
- Cybersecurity and Risk Mindset: proactively identifies risks and integrates secure practices into development workflows.
- End-user experience focused: delivers intuitive, valuable solutions that align with employee needs.
- Mission-aligned: shares Client’s vision of transforming the employee experience through generative AI
Important: Candidates must be eligible for conversion to full-time (U.S. Citizen or Green Card holder).