Job Requirements
Washington, DC
Secret Polygraph not specified
Mid Level Career (5+ yrs experience)
$130,000 - $160,000
Job Description
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
required)
Responsibilities:
● Contribute to the design and evolution of Expression's Agentic AI platform by
defining scalable architectures for enterprise AI applications and services,
including system architecture, core platform components, tooling, automation,
coding standards, and platform performance, scalability, and reliability.
● Architect, deliver, and optimize production-grade LLM services, agent
workflows, orchestration layers, retrieval pipelines, and vector search
technologies.
● Provide technical leadership and mentorship: guide architecture and design
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
deliver customer-focused solutions.
● Collaborate with clients, lead product demonstrations, and communicate
technical concepts and platform capabilities to both technical and executive
audiences.
● Produce clear technical documentation, architecture diagrams, design
proposals, and other engineering artifacts.
Required Qualifications:
,● 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.
Location: Hybrid or Remote with limited travel
,Benefits:
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
fusion, data analytics, AI/ML, software engineering, information technology, and
electromagnetic spectrum management solutions to the U.S. Department of Defense,
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.
Equal Opportunity Employer/Veterans/Disabled
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
required)
Responsibilities:
● Contribute to the design and evolution of Expression's Agentic AI platform by
defining scalable architectures for enterprise AI applications and services,
including system architecture, core platform components, tooling, automation,
coding standards, and platform performance, scalability, and reliability.
● Architect, deliver, and optimize production-grade LLM services, agent
workflows, orchestration layers, retrieval pipelines, and vector search
technologies.
● Provide technical leadership and mentorship: guide architecture and design
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
deliver customer-focused solutions.
● Collaborate with clients, lead product demonstrations, and communicate
technical concepts and platform capabilities to both technical and executive
audiences.
● Produce clear technical documentation, architecture diagrams, design
proposals, and other engineering artifacts.
Required Qualifications:
,● 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.
Location: Hybrid or Remote with limited travel
,Benefits:
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
fusion, data analytics, AI/ML, software engineering, information technology, and
electromagnetic spectrum management solutions to the U.S. Department of Defense,
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.
Equal Opportunity Employer/Veterans/Disabled
group id: 10196618