Senior Software Developer (Applied AI)
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 9, 2026.
Join Clariti as a Senior Software Developer (Applied AI) and be part of a team that is revolutionizing the way AI is integrated into various business functions. You will be responsible for building and evolving the Agentic SDLC framework, creating the connector layer, maintaining eval harnesses, and ensuring AI observability and cost telemetry. Your success will be measured by the speed and reliability of the framework, the performance of the connector layer, and the adoption of the Clariti AI harness by non-engineering staff. Enjoy a flexible work culture, professional development opportunities, and team-building events.
Missions
- Concevoir et mettre en œuvre des workflows d'agents, des modèles d'orchestration et des composants réutilisables pour le cadre SDLC Agentic.
- Construire et maintenir des serveurs MCP et des intégrations dans les systèmes centraux afin que les agents et les employés non techniques puissent agir sur des données réelles.
- Construire et maintenir des infrastructures d'évaluation qui notent automatiquement la sortie des agents, y compris des suites de régression pour les invites et les workflows.
Profil recherché
- Hands-on depth in the current agentic stack: agent frameworks and coding agents (Claude Code, LangGraph, or equivalents), MCP or comparable tool protocols, structured outputs, and eval-driven development. You have opinions about context management and can defend them with data- A platform temperament: you measure your success by other teams' throughput, you write documentation people actually use, and you would rather delete code than defend it
- Comfort operating with a small blast radius and high autonomy: this is a pod of few with a company-wide mandate, not a large team with narrow lanes
- Strong general engineering fundamentals: you are a senior developer first and an AI specialist second. Distributed systems, API design, CI/CD, and cloud infrastructure are home territory
- 6+ years as a software engineer shipping production systems, with at least 1 to 2 years building LLM-powered or agentic systems that real users depend on, not prototypes
- Experience in regulated or public-sector software, where auditability and defensibility of outputs matter
- Prior DevOps, platform engineering, or internal developer platform ownership; you have lived the difference between building a tool and driving its adoption
- Experience instrumenting and optimizing LLM cost and quality at scale: model routing, caching, prompt compression, fine-tuning trade-offs