Software Engineer 3

GEOSPARK ANALYTICS DBA SEERIST FEDERAL•Reston, VA

5h•$140,000 - $170,000•Hybrid

About The Position

You will join the Seerist software engineering team to build and evolve the core of our intelligence platform: the TypeScript applications, APIs, and search experiences that analysts and customers rely on every day, and the AI-driven features that are changing how they work. We are looking for a creative engineer who values simplicity. You look for the plain solution to a hard problem, you leave the codebase easier to understand than you found it, and you work within an established architecture instead of adding complexity for its own sake. You will own work end to end, from scoping and implementation through rollout and production support. You will also help us tell the AI advances that matter from the hype, because you build with them.

Requirements

Strong experience across frontend and backend systems with TypeScript.
Experience with Node.js backend/API development.
Experience designing and maintaining REST APIs and OpenAPI contracts.
Strong testing and code-review discipline.
Ability to work within an established architecture.
Comfortable owning work end-to-end, including scoping, implementation, rollout, and production support.
Hands-on experience building with LLMs, tool use, agents, structured outputs, retrieval, and multi-step workflows.
Familiarity with agent orchestration, tool calling, memory/context strategies, evals, guardrails, and failure handling.
Ability to evaluate new model classes and frameworks on real tradeoffs in quality, latency, cost, reliability, and maintainability.
Portfolio or meaningful examples of shipped production work.

Nice To Haves

Vue 3 / Nuxt experience, ideally with large production applications.
AdonisJS familiarity.
Experience with search-heavy applications, geospatial data, or Elasticsearch/OpenSearch.
Keeps a strong pulse on emerging AI models, agentic patterns, and tooling.

Responsibilities

Build and evolve the core of Seerist's intelligence platform, including TypeScript applications, APIs, and search experiences.
Develop AI-driven features that enhance customer workflows.
Own work end-to-end, from scoping and implementation through rollout and production support.
Contribute to separating meaningful AI advances from hype by building with them.
Apply simplicity and creativity to product and technical problems, explaining tradeoffs.
Maintain a strong testing and code-review discipline.
Work within an established architecture, avoiding unnecessary complexity.
Experiment with emerging AI models, agentic patterns, and tooling.