Agentic Systems Full-Stack Software Engineer, Senior

Agentic Systems Full-Stack Software Engineer, Senior The Opportunity:

Most engineering roles ask you to write sof tware. This one asks you to design it, direct it, and stand behind it. As a full-stack sof tware engineer, you can take a problem from vision to production-ready in a fast, agile environment. If you're looking for the chance to not just develop sof tware, but to help design and create systems that make a difference, we need you on our team.

You'll work in an agentic-first codebase, where a large share of the code is drafted by AI agents working from a specification you write, then reviewed, tested, and shipped by you. The job is less about typing and more about judgment, decomposing work into verifiable pieces, writing the spec and the tests that constrain the agent, and reviewing what comes back with the same rigor you'd apply to a teammate's work. Engineers who can only prompt struggle here. So do engineers who insist on handwriting everything. We're looking for the one who does both well, and who can tell the difference between output that looks right and output that is right.

You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solutions your team delivers account for the current architecture and operating environment as well as future functionality and enhancements. And you'll help define how sof tware actually gets built over the next five years, rather than just adopting someone else's workflow.

What You'll Work On:

Ship features end-to-end across ten Python and FastAPI microservices and a React or TypeScript front end including database migration, service logic, API contract, UI, and tests in a single change.

Author and maintain the agent harness that makes this codebase productive for AI agents including project-level instructions, reusable skills, spe cia lized subagents, and the evaluations that tell you when the harness has regressed.

Extend a multi-tenant authorization system modeled on AWS IAM including policy evaluation order, organizational guardrails, cross-organization consent, per-service database isolation, and audit trails that hold up under inspection.

Deploy and operate LLM inference on Kubernetes including vLLM on GPU nodes, Helm charts, model routing, and per-request usage and cost accounting.

Own infrastructure as code including Terraform modules for databases, caches, object storage, queues, and secrets across multiple environments.

Promote releases through a staging → production → air-gapped enclave ladder, including packaging for environments with no internet egress.

Review AI-generated changes for correctness, security, and architectural fit and when a class of mistake recurs, fix it in the harness rather than in the diff.

Join us. The world can't wait.

You Have:

Experience with full-stack development, including a Python web framework such as FastAPI, Flask, or Django and a modern JavaScript framework such as React, Vue, or Svelte

Experience with cloud computing, including AWS, GCP, or Azure

Experience with relational databases, including schema design, query performance, versioned migrations, and Kubernetes

Experience with agentic engineering using tools such as Claude Code, Codex, Cursor, Docker, or Helm, including writing project-level agent instructions, decomposing work into agent-executable specifications, and reviewing AI-generated code before merge

Experience with infrastructure as code, including Terraform, and managing and deploying LLMs in a Kubernetes environment

Experience with LLM application patterns, including retrieval-augmented generation, vector databases, tool or function calling, or streaming inference

Experience with Agile development and Git-based collaboration workflows, including issue tracking, merge requests, code review, and CI / CD pipelines such as GitLab or GitHub

Secret clearance

HS diploma or GED and 2+ years of experience with agentic AI full-stack development, or Bachelor's degree

Ability to obtain a DoD 8570 IAT Level II Certification within 60 days of hire date

Nice If You Have:

Experience managing and deploying applications in an air-gapped environment

Experience with attribute or policy -based authorization systems, including AWS IAM, Cedar, OPA, Rego, or Casbin

Experience with data handling in classified environments, including classification markings, compartments, or clearance-based access control

Experience with GPU workload scheduling on Kubernetes, including time-slicing, MIG, or device plugins, OpenTele met ry, and distributed tracing across a microservice fleet

Experience building evaluations, benchmarks, or regression harnesses for LLM-backed features

Experience creating and conducting automated unit and system integration tests to identify and provide feedback on failed modules and components

Experience contributing to open-source developer tooling, agent frameworks, or MCP servers

Possession of excellent verbal and written communication skills to communicate technical ideas and deliver briefings with cross-functional teams

Master's degree

Security+ Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .

• Work Model
• Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings