Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights
Implement multi-agent workflows using modern orchestration frameworks (e.g., Google ADK, LangChain, LangGraph) to enable autonomous reasoning, planning, and execution
Integrate state-of-the-art Large Language Models (GPT-4, Claude, Gemini, etc.) to power contextual analysis, hypothesis generation, and adaptive decision-making
Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time
Develop robust data ingestion and transformation layers to support pattern-of-life, detection, anomaly identification, and predictive analytics
Ensure secure, scalable integrations across cloud and enterprise environments
Create feedback loops and reinforcement mechanisms to iteratively improve model reliability and operational trustworthiness
Deploy and operate AI systems in production using modern DevOps practices (containerization, orchestration, CI/CD)

Requirements

Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field
3 + years of proven experience in a relevant technology domain
Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWS or GCP)
Significant software development experience with Python, JavaScript, or similar
Familiarity with vector databases, embeddings, and retrieval-augmented generation architectures
Knowledge of distributed systems design and high-availability architectures supporting global-scale workloads
Excellent communication and interpersonal skills
Ability to work independently and collaboratively with remote and/or geographically distributed teams
Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously

Benefits

robust 401(k) with company match
mental health resources
student loan repayment assistance
adoption reimbursement
pet insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-native software developmentmulti-agent workflowsLarge Language Modelsdata ingestionpredictive analyticsDevOps practicesPythonJavaScriptcloud-based data managementmachine learning pipelines

Soft Skills

communication skillsinterpersonal skillsindependent workcollaborative workability to manage multiple prioritiesadaptabilityproblem-solvingteamworktime managementfast-paced environment