Learn how TCP Software can help your team work better.
Agentic AI Software Engineer
Location
United States
Posted
3 days ago
Salary
0
Seniority
Senior
Job Description
Agentic AI Software Engineer
TCP Software
- Design, build, and ship agentic AI features end to end, from detection and decision logic through safe action execution, in a cross-functional agile environment - Ground agent behavior in deterministic rules engines and governed data so every agent explains its reasoning and never acts outside permitted boundaries - Build and operate the LLM layer, including prompt architecture, structured outputs, confidence scoring, timeouts, and rules-only fallback paths - Implement safe patterns for agent actions, including idempotent operations, undo windows, retries with backoff, and immutable audit logging - Develop statistical detection and baseline logic that turns workforce data into ranked, explainable findings with business impact attached - Manage inference cost, latency, and model selection from development through production - Partner with QA on evaluation suites, shadow-mode rollouts, and the trust metrics that gate every agent capability, and mentor junior engineers along the way - Operate independently, setting priorities and goals while continuing to learn and grow technically
Job Requirements
- 6+ years of professional software development experience, including shipping LLM-backed or agentic features to production.
- Deep production experience with C#/.NET, SQL Server, and API design in systems where correctness has financial consequences, such as payroll, billing, or banking.
- Experience integrating LLM APIs into enterprise applications, with structured outputs, retrieval grounding, and evaluation-driven iteration.
- Working fluency with statistical techniques on time-series data, such as rolling baselines, outlier detection, and threshold tuning.
- The ability to understand requirements and solve technical issues without supervision, serving as a technical lead.
- AI Experience Requirements: **
- Hands-on daily use of AI coding assistants or agentic tools, such as Claude Code, GitHub Copilot, or Cursor.
- Production experience with LLM APIs, MCP servers, or internal AI tooling.
- An understanding of human-in-the-loop agent design and write-capable AI.
- A clear understanding of LLM failure modes, including hallucination, prompt injection, and cost overrun, plus the limits and risks of AI-generated code.
- Preferred: experience with multi-agent orchestration, evaluation harness design, or statistical anomaly detection.
Benefits
- Competitive salary
- 20 Days of PTO (Paid Time Off) and 13 days of companywide holidays
- 8 hours to volunteer and impact the community
- Comprehensive benefits (Health/Dental/Vision/ 401K)
- Employee Choice Pre-Tax Benefit
Related Guides
Related Job Pages
More AI Engineer Jobs
• Build end-to-end applications that incorporate generative AI capabilities into real user workflows • Develop scalable backend services, APIs, and integrations using modern engineering practices • Build responsive and maintainable frontend experiences using modern frameworks • Design modular system architectures that support scalability, reliability, and long-term maintainability • Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring • Optimize prompt flows, data pipelines, and system interactions for consistency and performance • Translate business requirements into technical solutions and make strong implementation trade-offs • Own features from ideation through development, testing, deployment, and iteration • Reuse and adapt proven solutions where appropriate to accelerate delivery • Continuously improve product quality based on performance data, feedback, and operational learnings
Role Description We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability. - Build end-to-end applications that incorporate generative AI capabilities into real user workflows - Develop scalable backend services, APIs, and integrations using modern engineering practices - Build responsive and maintainable frontend experiences using modern frameworks - Design modular system architectures that support scalability, reliability, and long-term maintainability - Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring - Optimize prompt flows, data pipelines, and system interactions for consistency and performance - Translate business requirements into technical solutions and make strong implementation trade-offs - Own features from ideation through development, testing, deployment, and iteration - Reuse and adapt proven solutions where appropriate to accelerate delivery - Continuously improve product quality based on performance data, feedback, and operational learnings Qualifications - Strong full stack engineering experience, ideally 5+ years - Proficiency in backend development with technologies such as Node.js, Python, or similar - Strong frontend experience with frameworks such as React or comparable modern tools - Experience building and consuming APIs, working with databases, and deploying on cloud platforms - Hands-on experience integrating generative AI into production applications - Practical understanding of prompt engineering and AI system limitations, including failure modes and edge cases - Proven ability to design systems that scale beyond MVP and remain maintainable over time - Strong understanding of software architecture, system design, and engineering best practices - Demonstrated experience shipping multiple production-grade products or platforms - Ability to combine traditional software engineering discipline with modern AI-driven workflows - Experience working independently with strong ownership and product mindset Benefits - Opportunity to build impactful AI-powered products used in real production environments - High ownership across architecture, implementation, and delivery - Role suited for engineers who enjoy both product thinking and technical depth - Chance to shape scalable systems early and influence long-term engineering quality - Fast-paced environment with a strong emphasis on execution and practical outcomes - Meaningful work at the intersection of full stack engineering and applied AI
• Define and drive a long-term AI/ML architectural vision • Own the strategic roadmap for Twilio’s ML/AI Ops platform and tooling • Evaluate and implement modern LLM architectures • Lead architecture for agentic AI systems • Transition seamlessly from high-level strategic communication to deep-dive code reviews • Partner closely with Product Management
Senior Software Engineer II – Ingestion AI Engineer
Aledade, Inc.With Primary Care. For Primary Care.
• Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.
