Agentic AI & LLM Applications Software Development Engineer, Senior

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: McLean, VAFL
Salary: $86,800–$198,000 / yr
Posted: 7 days ago
Closes: Sep 9, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $142k

$66k most similar roles pay here $279k

This role pays less than 90% of similar roles. Most pay $169,956–$244,000 — the shaded band above. At the midpoint, this role pays about $142k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 704 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Agentic AI & LLM Applications Software Development Engineer, Senior

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Join our Advanced Research Projects Agency for Health (ARPA-H) team as a Senior Software Development Engineer to build the next generation of agentic AI systems. You will design and develop LLM integrations, tool-calling systems, and AI-powered features that users interact with daily, focusing on agentic workflows, multi-agent communication, and reliable production deployment. Key responsibilities include implementing A2A communication patterns, managing context windows, building RAG features, and evaluating LLM quality through pipelines. You will work closely with product, UX, and applied science teams to translate requirements into technical designs and ensure robust privacy and security practices. Ideal candidates have 7+ years of software engineering experience, proficiency in Python and other backend languages, and knowledge of cloud platforms like AWS or GCP, along with a background in building production systems on LLMs and multi-agent architectures.

Skills

Python AWS GCP Azure Docker CI/CD MCP LLMs OpenAI_GPT Anthropic_Claude Google_Gemini RAG APIs async_patterns tracing logging metrics SLOs token_economics prompt_engineering security_conscious_engineering

What you'll do

Design and build core agentic workflows for multi-step reasoning, planning, memory, and tool-use.
Implement A2A communication patterns at the application layer to enable agent collaboration and task handoff.
Own LLM orchestration including prompt construction, context management, model selection logic, and response parsing.
Build RAG features such as query formulation, result ranking, citation grounding, and hallucination mitigation.
Develop evaluation pipelines for assessing LLM quality through grounding assessment, regression testing, safety checks.

What we're looking for

7+ years of software engineering experience with production systems.
Experience in high-velocity environments, owning and shipping complex products end-to-end.
Proficiency in at least two backend languages, including Python.
Expertise in building and operating cloud-based systems on AWS, GCP, or Azure.
Knowledge of modern backend frameworks, async patterns, algorithms, data structures, APIs, and software design patterns.
Bachelor's degree in Computer Science or Software Engineering.

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