Senior AI Software Engineer

We are seeking an Senior AI Engineer to help design, build, and deliver next-generation AI-enabled applications and agentic systems. This role combines hands-on engineering across frontend applications, Python backend services, MCP infrastructure, agent workflows, and secure enterprise integrations.

As an AI Engineer, you will build user-facing applications and backend services that integrate withModel Context Protocol(MCP)servers, LLM-based applications, RAG-based retrieval systems, and agent orchestration platforms.You will work closely with AI developers, platform engineers, product teams, and other stakeholders to deliver scalable, secure, observable, and production-ready AI solutions.

This engineering role is suited for candidates who can contribute across the full stack while also helping shape reusable patterns for MCP-enabled tools, skills, and agent-driven workflows.

In this role you will

• Design, build, and maintainAI-enabled applicationsusing React, TypeScript, Python, and modern API frameworks.

• Developfrontend applicationsaligned with enterprise UI standards and reusable component patterns.

• Build and maintainPython backend services, APIs, MCP services, and integration layersusing frameworks such asMCP,FastAPI&Flask.

• Design, implement, and integrate withMCP servers and MCP clientsthat enable secure context sharing between models, tools, applications, and agent runtimes.

• Develop and supportagentic workflowsthat executecomplex, multi-step tasks using frameworks such as LangChain Deep Agents, Google ADK, or similar agent frameworks.

• Buildskill-based and modular agentsthat decompose capabilities into reusable, composable, and versioned skills.

• Build reusable components, services, tool schemas, and integration patterns that can be shared across enterprise AI applications.

• Integrate logging, tracing, and observability frameworks, includingArize &Splunkcompatible logging and agent observability tooling.

• Ensure applications and services are ready for deployment on enterprise container platforms such as OpenShift or Kubernetes.

• Collaborate with AI developers, platform engineers, product teams, and architecture partners to deliver robust and scalable AI solutions.

Key responsibilities

• Deliver end-to-end AI application featuresusing MCPservices, and agent orchestration layers

• Own and contribute toMCP service implementations, including tool schema design, tool registration, API integration, authorization enforcement, and deployment readiness

• Build and maintainMCP-compatible tools, skills, APIs, and UI componentsfor use across AI applications and agent runtimes.

• Integrate AI-powered user interfaces withbackend APIs, MCP servers, RAG systems, and agent workflows

• ImplementRBACpolicies governing which users, agents, clients, and applications can invoke specific tools or services

• Develop agent workflows that support complex user objectives throughmcp &skillorchestration

• Align solutions with enterprise platform standards, including application scaffolding, security, observability, logging, testing, and deployment practices

• Ensure frontend applications are performant, accessible, maintainable, and aligned with reusable design patterns.

• Ensure backend and AI services are scalable, observable, secure, and ready for deployment on OpenShift or Kubernetes-based environments

• Write and maintain technical documentation, integration guides, API specifications, and operational runbooks

• Contribute to engineering best practices, including code reviews, automated testing, CI/CD, monitoring, and production support readines

Required qualifications

• 4+ years engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years strong proficiency inPythonwith experience building services using frameworks such asFast MCP,FastAPI&Flask

• 3+ years of experience developing and integrating withREST APIs,asynchronous services, and event-driven architectures

• 3+ years of experience integrating withAI, LLM-based systems, agent platforms, or AI APIs

• 3+ years of experience withReact and TypeScriptfor building frontend applications

• 3+ years of experiencewithauthentication, authorization, and access controlpatterns, including SSO, OAuth 2.0, API keys, token-based access, RBAC, and scopes

• 3+ years of experience building or integrating withMCPservers&understanding ofMCPprotocol, including tool registration, schemas, message flows, clients, servers, and lifecycle patterns

• 3+ years of experience developingagent-driven workflowsusing frameworks such as LangChain, Google ADK, or similar orchestration frameworks

• 3+ years of experience frontend fundamentals, includingHTML, CSS, JavaScript, browser rendering, DOM APIs, and performance tuning.

• 3+ years of experience withautomated testing withPlaywright,performance testing, code reviews, and CI/CD practices

• 3+ years of experience building secure, scalable, maintainable applications aligned with enterprise platform standards

Desired qualifications

• ExperiencebuildingMCP serversusing FastMCP or similar Python-based MCP frameworks

• Experience designingMCP-compatible tools, reusable skills, and modular agent capabilities

• Familiarity withtool schema designand structured output validation using tools such as Pydantic, JSON Schema, or Zod

• Experience withlong-running autonomous agentsthat support retries, state persistence, error recovery, graceful termination, and multi-step workflow execution.Experience withRAG-based retrieval systems,vector search, embeddings, or enterprise knowledge retrieval patterns

• Experience withagent observability and tracingtools such as LangSmith, Open Telemetry, Arize, or similar platforms

• Exposure toSplunk or enterprise observability frameworks

• Experience withDocker, OpenShift, Kubernetes, or similar containerization and deployment platforms

• Experience withCopilot Studio, Microsoft Teams UI integration,or conversational application platforms

• Knowledge of prompt engineering, skill engineering, and knowledge graphs such as llm_wiki and OKF

• Familiarity with secure enterprise software delivery, platform governance, and reusable engineering standards
  

Job Expectations:

• This position is not eligible for Visa sponsorship
• Relocation assistance is not available for this position
• Position offers a hybrid work schedule

Job Location Posting:

751 Pinnacle Dr., McLean, VA 22102

Pay Range

Posting End Date:

*Job posting may come down early due to volume of applicants.