Principal Generative AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Remote within the United States. Candidates must be U.S. Persons; the minimum qualifications specifically require U.S. citizenship.
Salary: Annual base pay ranges from $135,000–$198,000 in Colorado, New Jersey, and Delaware; $149,000–$217,800 in the Washington, DC metropolitan area; and $155,000–$227,700 in California. Other states may have different market-driven ranges.
Company
develops an AI-native spatial intelligence platform that transforms large-scale geospatial data into predictive signals for national security and enterprise operations.
What you will do
- Build AI-native products that transform geospatial data into actionable intelligence and mission-critical insights.
- Design multi-agent workflows with Google ADK, LangChain, LangGraph, and similar orchestration frameworks.
- Integrate frontier LLMs including GPT-4, Claude, and Gemini for contextual analysis, hypothesis generation, and adaptive decision-making.
- Develop data ingestion and transformation layers for pattern-of-life analysis, detection, anomaly identification, and predictive analytics.
- Create feedback loops and reinforcement mechanisms that improve model reliability and operational trust.
- Deploy and operate secure, scalable AI systems using containerization, orchestration, CI/CD, and other DevOps practices.
Requirements
- Bachelor’s degree in Computer Science, Systems Engineering, Software Engineering, or a related field.
- U.S. Person status is required; the minimum qualifications specify U.S. citizenship.
- 7+ years of relevant technology experience, preferably in software engineering and AI/ML.
- Strong understanding of cloud-based data management and machine learning pipelines, including AWS or GCP.
- Significant software development experience with Python, JavaScript, or similar languages.
- Ability to work independently and collaboratively with remote, geographically distributed teams.
Nice to have
- Experience with vector databases, embeddings, and retrieval-augmented generation architectures.
- Knowledge of distributed systems and high-availability architectures for global-scale workloads.
- Experience using AI-assisted development tools to prototype, automate engineering tasks, and improve team velocity.
- Excellent communication skills and the ability to manage multiple priorities in a fast-paced environment.
Culture & Benefits
- Remote work with collaboration across geographically distributed teams.
- 401(k) with company match.
- Mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- Incentive eligibility based on contribution, company performance, and/or individual results.
- Equal opportunity workplace committed to an inclusive environment.
Hiring process
- Submit an application through ’s careers page.
- The application window is three days from posting and remains open until a qualified candidate is identified.
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