What are the responsibilities and job description for the Software Engineer - GenAI position at Motion Recruitment?
We’re hiring a Software Engineer for a long-term contract opportunity with a leading bank in Charlotte, NC. This hybrid role sits within a high-impact technology team and focuses on building Generative AI solutions for supply chain document processing using Python, REST APIs, and relational databases.
This is a strong opportunity for an engineer who wants hands-on ownership in a growing GenAI environment. The team is developing agent-based solutions that extract and process critical supply chain documents, with new agent releases happening regularly across sprint cycles. If you enjoy building practical AI applications, working closely with technical partners, and expanding your experience in enterprise-scale delivery, this role offers meaningful exposure, modern tools, and long-term project stability.
Contract Duration: 12 months
Required Skills & Experience
Tech Breakdown
This is a strong opportunity for an engineer who wants hands-on ownership in a growing GenAI environment. The team is developing agent-based solutions that extract and process critical supply chain documents, with new agent releases happening regularly across sprint cycles. If you enjoy building practical AI applications, working closely with technical partners, and expanding your experience in enterprise-scale delivery, this role offers meaningful exposure, modern tools, and long-term project stability.
Contract Duration: 12 months
Required Skills & Experience
- 9–12 months of recent Generative AI experience
- 3–5 years of recent Python development experience
- Hands-on REST API development experience
- 3–5 years of relational database experience
- 5 years of overall software engineering experience
- Experience with Python full-stack development and RESTful frameworks such as FastAPI, Flask, or Django
- Experience working with cloud and platform tooling such as OpenShift, GCP or equivalent environments, and CI/CD pipelines
- Willingness to work on-site in a hybrid schedule at the stated location
- Strong communication skills and the ability to work independently and as part of a team
- Experience productionizing Generative AI systems using industry-standard frameworks
- Financial services or banking industry experience
- Familiarity with enterprise GenAI frameworks such as Google ADK, Autogen, or Semantic Kernel
- Experience with evaluation frameworks and LLM-as-a-Judge approaches
- Experience with LangChain, LangGraph, LangSmith, vector databases, or multi-agent orchestration
- Knowledge of NumPy, Pandas, PostgreSQL, ETL workflows, and cloud-based data handling
Tech Breakdown
- 50% Python and REST API development
- 30% Generative AI and agent-based solution development
- 20% Relational databases, cloud platforms, and deployment tooling
- 70% Hands-on design, development, testing, and deployment
- 10% Mentoring, technical leadership, and solution planning
- 20% Cross-functional collaboration with business stakeholders and technology partners