Expression is seeking an experienced Senior AI Platform Engineer to join our Product

Team and contribute to the evolution of our Agentic AI platform. We are building an

enterprise-grade platform for our National Security and Federal Civilian customers that

moves Generative AI from “chatting” to “doing.” This platform is the intelligent backbone

for our semi-autonomous agents and the AI governance framework that manages them.

The ideal candidate thrives in a highly technical, collaborative environment and has a

strong bias for action. You are comfortable taking ownership, elevating your team

through clear communication and solid technical judgment, and continually improving

how we build our platform.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship, * Contribute to the design and evolution of Expression’s Agentic AI platform by, reviews, grow engineers, and raise the bar for engineering quality and

technical decision-making across the team.

• Develop high-performance Python APIs and scalable backend services using

FastAPI, asynchronous programming techniques, and modern software , engineering practices. Set the technical direction and engineering standards

for high-performance, scalable backend services and APIs, and champion

modern software engineering best practices across the team.

• Build and maintain the underlying AI platform that supports secure,

observable, resilient, and production-ready AI workloads.

• Design and implement AI governance capabilities, including guardrails, policy

enforcement, model lifecycle management, responsible AI practices, and

compliance with federal security and governance requirements.

• Develop automated testing and evaluation strategies for AI-enabled

applications, including prompt evaluation, model evaluation, regression

testing, integration testing, and quality assurance.

• Implement LLM observability, monitoring, logging, telemetry, performance

metrics, and resilience strategies to ensure reliable production operation.

• Design, implement, and maintain CI/CD pipelines and deployment

automationDefine and drive CI/CD and deployment automation strategy to

support secure, efficient delivery of AI services.

• Collaborate with Product, UX, Infrastructure, Security, and other

cross-functional teams to continuously improve platform capabilities and

• Bachelor degree in Computer Science, Software Engineering, Information

Systems, Data Science, or related fields. An advanced degree is preferred.

• 8-10+ years of professional experience in Software Engineering designing

and building enterprise software platforms.

• Demonstrated technical leadership: leading architecture and design for

complex production platforms, mentoring engineers, and driving technical

decisions across teams.

• Hands-on experience designing and building agent orchestration and LLM

workflows (custom or framework-based); hands-on experience with

frameworks such as LangGraph, LangChain, CrewAI, or Strands is useful but

not required.

• Expert-level Python, including asyncio and asynchronous programming,

FastAPI, Pydantic, type hinting, and modern development practices.

• Strong proficiency in TypeScript and Node.js for building production platform

services, APIs, and SDKs.

• Proven experience implementing retrieval architectures.

• Experience designing and operating vector databases and both lexical and

semantic search systems.

• Strong experience designing distributed architectures for LLM-based

applications.

• Experience with self-hosted and edge model deployment: serving open and

small language models (SLMs) with vLLM, Ollama, or llama.cpp, routing

through LiteLLM, and autoscaling inference on Kubernetes (e.g., Karpenter) for

on-premises, disconnected, and tactical environments.

• Experience deploying applications using Docker and cloud-native services

within AWS or Azure. , * Experience implementing CI/CD pipelines using GitLab CI, GitHub Actions, or

similar automation platforms.

• Experience with Kubernetes, Infrastructure as Code (Terraform and Helm, or

equivalent), and modern cloud-native deployment practices.

• Familiarity with AI governance, model lifecycle management, prompt

engineering, and responsible AI principles.

• Experience implementing LLM observability, monitoring, evaluation

frameworks, and production telemetry.

• Strong written and verbal communication skills with the ability to produce

technical documentation and communicate effectively with technical and

executive stakeholders.

Preferred Qualifications: Deep Technical Expertise (Highly Desired)

• Experience building enterprise-scale Agentic AI platforms.

• Experience implementing automated prompt evaluation, model evaluation,

and AI quality assurance frameworks.

• Experience developing AI guardrails, policy engines, and secure AI deployment

patterns.

• Experience with PostgreSQL performance tuning, asynchronous database

drivers (asyncpg), indexing, and query optimization.

• Experience building event-driven or distributed systems using microservices

architectures.

• Experience supporting National Security or Federal Civilian customers.

Expression offers competitive salaries and benefits, such as:

• 401k matching

• PPO and HDHP medical/dental/vision insurance

• Education reimbursement up to $10,000/yr

• Complimentary life insurance

• Generous PTO and 11 days of holiday leave

• Onsite gym facility and trainer

• Commuter Benefits Plan

• In-office Cold Brew Coffee

About Expression:

Founded in 1997 and headquartered in Washington DC, Expression provides data

Department of State, and national security community. Expression’s culture focuses on

creating immediate and sustainable value for our clients via agile delivery of tailored

solutions built through constant engagement with our clients. Expression was ranked

1 on the Washington Technology 2018’s Fast 50 list of fastest-growing small business

Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

We make sure to provide everyone with the tools and opportunities to grow while

working on some of the newest technologies in the industry. We get excited about ,celebrating our professionals’ milestones, accomplishments, promotions, overcoming

challenges, and many other aspects that make an engaging collaborative environment.