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Senior UI Software Engineer

Posted 19 days ago

eliassen groupCharlotte (NC)

SENIORITY

Lead

SALARY

$130,000 - $150,000 per year

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About the role

Description: Hybrid 3 on in Charlotte, NCOur client is seeking a Senior UI Software Engineer to build an AI-powered telecom equipment lifecycle and site visibility platform. The role is full-stack with a UI emphasis and requires hands-on experience integrating AI into products. The engineer will develop across front-end, API, backend, data, and integration layers, with a preference for Python and AWS. The position will drive discovery with stakeholders, translate operational needs into technical designs, and deliver reliable AI-enabled applications using modern agent frameworks and RAG patterns. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $130,000.00 to $150,000.00/yr. w2JN -102026-109146
Responsibilities: Develop UI-centric full-stack solutions across front-end, API, backend, data, and integration layers. Design, build, and deploy AI agents and AI-enabled applications using AWS services and modern agent frameworks. Lead discovery with stakeholders and SMEs to translate operational needs into technical designs. Operate independently, drive solutions from concept to production, and communicate progress clearly. Integrate agents with enterprise systems, APIs, databases, documents, and business workflows. Implement RAG, tool-using agents, workflow automation, evaluations, monitoring, and reliability controls. Experience Requirements 5+ years of professional software engineering experience delivering production systems. Strong UI and backend full-stack skills, ideally Python-based, with experience building APIs, services, integrations, and distributed applications. Hands-on experience building applications in AWS, including CI/CD, containers, observability, and secure development practices. Experience with generative AI, LLM applications, agent workflows, RAG, vector databases, or AI-enabled automation. Ability to build usable full-stack applications, including modern web interfaces and backend services. Strong communication skills with demonstrated collaboration across business and technical stakeholders.
Education Requirements: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience.

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