Senior AI Software Engineer - Innovation Division

Dynamo Technologies is seeking a Senior AI Software Engineer to join our Innovation Division - a dynamic research and development team focused on rapidly building functional applications, from the user interface down to the data layer, that deliver measurable efficiency gains for our clients and internal tools so our existing team can accomplish more. This role is for builders who thrive at the intersection of modern web development and applied AI, working in a fast-paced environment where speed of delivery and thoughtful execution are paramount.

You’ll be responsible for designing and shipping full-stack web applications – typically Svelte Kit front ends backed by Supabase/Postgres – with AI woven into them: systems that transform unstructured data into actionable insights, pipelines that take that data from raw documents to structured output, and chat and knowledge interfaces that real users rely on. You’ll also help clients understand how AI systems – including self-hosted and agentic ones – can be deployed securely and cost-effectively in federal environments.

In this role, you’ll work across teams to rapidly prototype, build, and deploy AI-powered products. Your day-to-day revolves around designing and building full-stack web applications – owning the experience end to end, from discovery calls to data ingestion to UI/UX leveraging tools like Svelte Kit, Supabase/Postgres, AWS, and Ollama.

You’ll also be presenting your work to both internal stakeholders and external clients, demonstrating software capabilities and helping shape solution architectures for federal contracting opportunities. This means understanding the RFP process, solution development, and how to communicate technical capabilities in ways that resonate with decision-makers.

• Proven ability to design and ship full-stack web applications end to end – front end, back end, and data layer – and to own the user experience, not just the code (we primarily use Svelte Kit and Supabase/Postgres; comparable stacks are fine)
• Comfort working directly with end users – internal teams and federal clients – to shape what gets built, gather feedback, and iterate quickly
• Demonstrated experience with text extraction using multimodal AI models and OCR tools for processing multi-page applications and forms
• Proven ability to build data pipelines that transform unstructured data into structured, normalized formats
• Strong presentation skills with a track record of presenting software and technical solutions to stakeholders and leaders for internal and external R&D projects
• Understanding of federal contracting environments, RFP processes, and solution architecture development

• Experience self-hosting models and services in Linux environments, with a working understanding of deployment patterns, sizing and scaling considerations, and token economics for LLMs and other AI systems (occasionally includes hands‑on work with hardware and infrastructure)
• Experience with hybrid database architectures – graph databases such as Neo4j alongside vector stores like Qdrant or Pinecone, and/or pgvector inside Postgres
• Working knowledge of retrieval‑augmented generation (RAG) for chatbot and knowledge management system development
• Hands‑on experience deploying agentic AI systems
• Active security clearance for defense work
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• Comfortable building and configuring hardware and infrastructure when occasionally needed

• Proficient in Python, SQL, JavaScript/Type Script, Git, and Docker
• Hands‑on experience building web applications with a modern JavaScript framework – Svelte/Svelte Kit preferred;
  React, Angular, or similar are fine – along with HTML/CSS and a utility framework like Tailwind
• Working knowledge of a Postgres‑based application platform such as Supabase (or comparable backend‑as‑a‑service / relational stacks)
• Cloud‑agnostic and platform‑agnostic mindset with the ability to work across different environments

Bachelor’s degree in Computer Science or 5‑10 years of equivalent work experience