Principal Generative AI Engineer

Ladders; United States; Remote; USD 135,000 - 198,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Incentive eligibility

Job summary

Ladders is seeking a Principal Generative AI Engineer for a leader in Aerospace & Defense. The role shapes advanced AI capabilities to transform geospatial data into actionable intelligence, architecting agentic systems, LLM-enabled workflows, and scalable data pipelines for production-grade solutions.

Remote US-based candidates only; you will collaborate with cloud and engineering teams to deliver secure, scalable AI systems in complex enterprise environments, with a strong focus on DevOps and

Qualifications

• Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field.
• Must be a U.S. Citizen.
• 7+ years of experience 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 in Python, JavaScript, or similar languages.

Responsibilities

• Build AI-native products that convert large-scale geospatial data into actionable intelligence.
• Design multi-agent workflows using orchestration frameworks for autonomous reasoning and planning.
• Integrate state-of-the-art LLMs for contextual analysis and adaptive decision-making.
• Engineer agents for dynamic tool use and iterative self-refinement.
• Develop data ingestion and transformation layers for pattern-of-life analysis and predictive analytics.
• Ensure secure, scalable integrations across cloud and enterprise environments.
• Create feedback loops to improve model reliability and operational trustworthiness.
• Deploy AI systems in production using modern DevOps practices.

Skills

AI/ML experience

Cloud-based data management

Python/JavaScript

Education

Bachelor's degree in CS/SE/related field

Advanced degree preferred

Tools

AWS

GCP

Job description

For our client, we are seeking a Principal Generative AI Engineer to join the team of a leader in the Aerospace & Defense space.

This role will shape advanced AI capabilities that turn large-scale geospatial data into actionable intelligence for mission‑critical use cases. You will architect and deploy agentic systems, LLM‑enabled workflows, and scalable data pipelines that improve analytical depth, reliability, and operational decision‑making. The position partners closely with engineering and cloud teams to deliver secure, production‑ready AI solutions in complex enterprise environments.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $135,000 – $198,000 annually

Responsibilities

• Build AI‑native products that convert large‑scale geospatial data into actionable intelligence.
• Design multi‑agent workflows using orchestration frameworks for autonomous reasoning and planning.
• Integrate state‑of‑the‑art LLMs for contextual analysis and adaptive decision‑making.
• Engineer agents for dynamic tool use and iterative self‑refinement.
• Develop data ingestion and transformation layers for pattern‑of‑life analysis and predictive analytics.
• Ensure secure, scalable integrations across cloud and enterprise environments.
• Create feedback loops to improve model reliability and operational trustworthiness.
• Deploy AI systems in production using modern DevOps practices.

Qualifications

• Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field; advanced degrees preferred.
• Must be a U.S. Citizen.
• 7+ years of experience 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 in Python, JavaScript, or similar languages.

Benefits

• Competitive total rewards package including a robust 401(k) with company match.
• Mental health resources and unique perks like student loan repayment assistance.
• Adoption reimbursement and pet insurance to support various life aspects.
• Incentive eligibility based on contribution and company performance.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.