Senior Software Engineer (Agentic AI Platform)

Staffed4UColumbia, MD
Onsite

About The Position

The selected candidate will serve as a Senior Software Engineer supporting the design, development, and sustainment of an advanced agent-based platform for intelligent and autonomous workflows. This role focuses on integrating diverse data sources, APIs, and tooling frameworks to enable scalable, interoperable systems in a mission-driven environment. The candidate will work closely with technical stakeholders and analysts to translate operational requirements into AI-enabled capabilities that improve automation, data processing, and system interoperability in complex environments.

Requirements

  • Minimum of 12 years of relevant professional experience, or equivalent combination of education and experience.
  • Bachelor’s degree in a technical discipline (or additional experience in lieu of degree).
  • Strong software engineering experience with Python in production environments.
  • Experience building and maintaining applications serving large user bases.
  • Strong understanding of AI development concepts, including prompt engineering, context management, and tool/function calling.
  • Experience with distributed systems and event-streaming architectures.
  • Experience using AI-assisted software development tools.
  • Strong debugging, refactoring, and system design skills.
  • Active TS/SCI with polygraph required.

Nice To Haves

  • Experience with agent-based systems and multi-agent orchestration frameworks.
  • Familiarity with cybersecurity operations or security-focused workflows.
  • Experience deploying applications in cloud environments (e.g., AWS) using container orchestration (e.g., Kubernetes).
  • Experience with CI/CD automation (e.g., GitLab pipelines).
  • Familiarity with retrieval systems such as vector databases or semantic search.
  • Experience analyzing cybersecurity-related datasets (e.g., network traffic, system logs).
  • Experience supporting signals intelligence (SIGINT) collection and analysis systems.
  • Experience supporting operational computer network operations (CNO) environments.
  • Strong systems thinking and analytical problem-solving skills.
  • Ability to operate effectively in complex, evolving technical environments.
  • Strong communication skills with both technical and non-technical stakeholders.
  • Ability to translate ambiguous requirements into scalable implementations.
  • Commitment to building reliable, maintainable, and high-impact systems.

Responsibilities

  • Agentic Systems Development: Design, develop, and deploy agent-based integrations using Python in production environments.
  • Build and maintain workflows using modern agentic frameworks and tooling ecosystems.
  • Implement agentic primitives such as tools, prompts, skills, and sub-agents.
  • Data Engineering & Streaming Systems: Design and implement real-time data pipelines using event-streaming architectures.
  • Develop scalable systems for data ingestion, processing, indexing, and search.
  • Utilize distributed messaging systems to support high-volume data workflows.
  • AI/ML Integration: Integrate multiple AI models, APIs, and external data sources into production systems.
  • Apply AI development concepts including prompt engineering, structured outputs, and tool/function orchestration.
  • Leverage AI-assisted development tools to improve engineering efficiency and quality.
  • Stakeholder Collaboration & Requirements Development: Collaborate with analysts and stakeholders to identify automation opportunities and define requirements.
  • Translate operational workflows into scalable technical solutions.
  • Support iterative development and refinement of deployed capabilities.
  • Platform Operations & Maintenance: Maintain and support production-grade agentic platforms.
  • Troubleshoot and resolve system issues in operational environments.
  • Ensure system reliability, performance, and scalability.

Benefits

  • Highly competitive base salary
  • Performance-based bonus opportunities
  • Employee referral bonus program (up to $10,000 per referral)
  • 401(k) and Roth retirement plans with up to 10% profit-sharing contribution
  • 25 days of paid time off annually
  • PTO buy-back program
  • 11 paid holidays annually (with flexible scheduling options)
  • 3 additional paid site closure days per year
  • Paid bereavement leave
  • Paid parental leave: 8 weeks childbirth leave for birthing parent
  • 4 weeks bonding leave for all parents (birth or adoption)
  • 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents
  • Health Savings Account (HSA) and Flexible Spending Accounts (medical, dependent care, limited purpose)
  • Company-paid basic life insurance
  • Short-term and long-term disability coverage
  • Unlimited company-funded training courses and industry conferences
  • Education assistance and continuing education support
  • Up to 5 paid training days per year
  • Company-provided apparel
  • Regular company-sponsored events, including family-friendly gatherings and social events
  • Annual holiday celebration
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service