Senior AI Developer

🕒 July 10

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Euna Solutions

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Euna Solutions is a provider of best-in-class SaaS solutions designed for the public sector, offering technology that is secure, intuitive, and designed for success. They specialize in budgeting, procurement, grants, payments, and special education solutions tailored for public sector agencies. Euna Solutions is trusted by over 3,400 public sector agencies across North America, serving various sectors, including government, healthcare, utilities, nonprofit, education, and transportation. Their tools are aimed at enhancing transparency, efficiency, and compliance in administrative procedures and processes.

📋 Description

• Own the evolution of shared AI components, libraries, and platform capabilities the whole team builds on. • Design and build AI-powered product features end-to-end: LLM orchestration, prompt engineering workflows, evaluation, and observability. • Design and build the CI/CD patterns, deployment pipelines, observability tooling, and developer workflows that make shipping agents to production predictable and repeatable. • Lead the team on AI tooling adoption — coding assistants, agentic development workflows, evaluation frameworks. • Build and optimize the core SaaS platform systems AI features depend on: high-scale background processing, scalable APIs, ingestion pipelines, search and discovery, and PostgreSQL performance. • Articulate a clear engineering direction to your team and to stakeholders. • Actively grow the engineers around you. Run technical reviews, establish best practices, and create an environment where the team can move quickly without constantly second-guessing their decisions.

🎯 Requirements

• 7+ years of hands-on software development, with deep proficiency in at least one modern backend or full-stack language and breadth across the full SDLC • Understanding of agentic system design: orchestration, tool use, memory, retrieval, evaluation, and agent-to-agent communication — with the judgment to make the right architectural calls under real constraints • Some hands-on experience with production agentic tooling — orchestration frameworks (LangChain, LangGraph, CrewAI), LLM APIs (OpenAI, Anthropic, Bedrock), vector databases, and evaluation/observability platforms (LangSmith, PromptLayer) • Previous experience building scalable multi-tenant SaaS applications ideally in one of C#, Ruby, Rails, Elixir, Python or similar language. • Demonstrated experience delivering production, client-facing agentic solutions end-to-end — you've shipped agents real users depend on, navigated the hard operational problems, and iterated from prototype to stable production • Strong AWS experience (or similar on Azure) — comfortable with Lambda, ECS, S3, RDS, API Gateway, and CloudWatch; able to design production-grade cloud-native architectures that are observable and operationally sound • Deep grasp of SaaS architecture principles — you design systems others build on top of, and you understand the tradeoffs between speed, scalability, and maintainability at each layer • Proven track record building developer platforms and delivery systems — CI/CD pipelines, deployment automation, testing frameworks, and the processes that let teams ship AI features rapidly and safely • Strong background in background processing systems (Redis-backed job queues, schedulers) and high-scale data pipelines • Solid understanding of PostgreSQL schema design and performance optimization • Experience designing and operating production REST APIs (auth, versioning, validation) • Understanding in Event Driven Development. • Experience with search and discovery systems (full-text, semantic, or vector search) • Strong understanding of security best practices (auth, data isolation, secrets management) • A demonstrated AI-first development approach — concrete examples of using LLMs and agentic tools (Claude Code, Cursor, Copilot) across the full breadth of daily engineering work, not just AI features • Nice to Have Experience in government tech, public sector, or another compliance-heavy domain (auditability, data isolation, security reviews)

🏖️ Benefits

• Competitive wages • Wellness days • Community Engagement Committee • Flexible workday • Ask us for a copy of our health and dental benefits! • Culture committee