Quick Overview
Job Description
AI / Agentic Software Engineering
Job ID: JOB-248315 | Customer ID: U5AAJP00017770
Location: San Antonio, TX 78288 (Onsite)
Duration: 5-Month Contract
Position Overview
We are seeking an experienced Senior Developer to design, develop, and implement scalable software solutions supporting AI-driven software delivery and agentic workflows. This role requires hands-on development experience, leadership on large-scale projects, and the ability to mentor junior engineers while delivering production-quality solutions.
Key Responsibilities
- Lead technical implementation efforts for large, complex projects.
- Design and develop high-quality, scalable, and efficient software solutions.
- Build agentic workflows, tools, APIs, and integrations using modern AI frameworks.
- Develop reusable platform capabilities that support AI-enabled software delivery.
- Create and execute unit tests to ensure software quality and accuracy.
- Identify technical risks and drive issue resolution.
- Provide timely updates on technical deliverables and project status.
- Ensure project objectives and development goals are successfully achieved.
- Mentor and support less-experienced developers.
- Contribute to monitoring, evaluation, and continuous improvement of AI agent capabilities.
Required Experience
- 4+ years of Software Engineering experience.
- 2+ years of AI/Agentic Software Engineering experience.
- Experience leading portions of one or more large-scale technology implementations.
- Strong background building production-quality distributed systems.
Required Technologies
- Golang
- GitLab CI/CD
- Agent Orchestration Frameworks
Preferred Experience
- Python development
- AI-enabled software solutions
- Tool and API integrations
- CI/CD and DevSecOps practices
- Cloud platforms
- Observability and monitoring solutions
- Automated evaluation frameworks
- Reusable engineering platform capabilities leveraged by multiple teams
Ideal Candidate
Seeking a hands-on software engineer with practical experience building AI-enabled or agentic solutions and integrating those capabilities into established software delivery processes. Candidates who have developed reusable engineering capabilities used across multiple teams are highly preferred.
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