Cleared AI Mid Software Engineer - Hybrid

Azusa Solutions LLC

$110K — $130K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5 years of experience in AI system development and management.
  • Proficient in Python; familiarity with JavaScript is advantageous.
  • Strong skills in diagnosing and correcting AI failures, including hallucinations and retrieval issues.
  • Experience with structured testing and evaluation methodologies for AI workflows.
  • Familiar with AWS Bedrock and data modeling practices.
  • Ability to document and maintain AI models and workflows.
  • Comfortable with CI/CD and Git-based development processes.

Responsibilities

  • Design and optimize agentic AI systems using frameworks like LangGraph and AWS Bedrock.
  • Implement multistep AI workflows that incorporate various advanced tooling and APIs.
  • Utilize foundation models for capabilities including structured generation and decision support.
  • Tune and refine AI workflows through prompt engineering and configuration.
  • Conduct testing and evaluation of AI behaviors to ensure system reliability.
  • Diagnose AI system errors and implement corrective actions effectively.
  • Collaborate with engineers to integrate AI systems with existing databases and applications.

Benefits

  • Generous paid time off
  • Health, vision, and dental insurance
  • Long term and short term disability coverage
  • Life insurance
  • 401(k) plan with immediate matching
  • Employee referral incentives
  • Options for remote or hybrid work arrangements available.
Full Job Description
Azusa Solutions is seeking an AI Mid Software Engineer to join our team of talented consultants. This is an exciting opportunity to join a growing company comprised of highly qualified, highly impactful, and multi-talented individuals. We are seeking an AI Engineer with strong technical acumen, creativity, and problemsolving ability to design, implement, and optimize AIpowered solutions built on modern agentic frameworks. In this role, you will develop intelligent workflows using foundation models (e.g., Claude Sonnet, Claude Opus, etc.), configure multiagent systems, integrate AI with enterprise applications and data systems, and iteratively tune and evaluate agent behavior to deliver reliable, realworld outcomes.

You will collaborate closely with a community of generative AI specialists, software engineers, data scientists, solution architects, cybersecurity experts, and product owners to deliver innovative, productionready AI systems that transform our clients' ecosystems and reinvent the way they operate.

Eligibility

*Candidate must hold an active Top Secret Clearance*
*Candidate must be local to the DC, Maryland, or Northern Virginia area.*

Key Responsibilities:
  • Design, build, and optimize agentic AI systems using orchestration frameworks like LangGraph, CrewAI, Google ADK, or AWS Bedrock AgentCore, etc.
  • Implement multistep, toolenabled AI agentic workflows that combine LLM reasoning, RAG, retrieval systems, external APIs, and custom enterprise tools.
  • Use leading foundation models (Claude Sonnet, Claude Opus, , etc.) on Amazon Bedrock to build capabilities including structured generation, extraction, summarization, planning, and decision support.
  • Iteratively tune and refine AI workflows through prompt engineering, instruction design, agent configuration, and tooluse optimization.
  • Conduct structured testing and evaluation of AI behavior, including regression tests, scenariobased evaluations, synthetic test creation, and modeltomodel comparisons.
  • Diagnose issues such as hallucinations, retrieval mismatches, tooluse errors, or unexpected agent behavior, and implement corrective strategies including guardrails and workflow adjustments.
  • Integrate AI components with vector databases, graph databases, internal applications, and other infrastructure tools-working alongside engineers who manage the underlying systems.
  • Document model usage patterns, agent behaviors, experimental findings, workflow designs, and best practices for reproducibility and maintainability.
  • Collaborate with cybersecurity and governance teams to ensure AI implementations adhere to required policies and safeuse guidelines.
Required Skills & Qualifications:
  • Ability to iteratively tune, evaluate, and validate AI workflows, including refining prompts, agent configurations, toolcalling patterns, and retrieval strategies.
  • Experience designing and running structured tests for AI behavior such as regression tests, scenariobased evaluations, synthetic testing, and model comparisons.
  • Skill in diagnosing and correcting AI system failures, including hallucinations, retrieval issues, or tooluse errors, and implementing guardrails or workflow adjustments.
  • Documents and maintains AI models, agent behaviors, experiments, and workflow designs.
  • Proficient in data modeling and familiar with AWS Bedrock services.
  • Proficiency in Python; familiarity with JavaScript or other languages beneficial.
  • Comfortable working with CI/CD and Git-based development workflows
  • Experience integrating observability tools into AI application workflows (logging, metrics, traces).
  • Years of experience: 5
  • Bachelor's degree required
Preferred Skills & Qualifications:
  • Master's in Computer Science or related field
Benefit Information

Our firm offers a professional and respectful work environment, exciting opportunities for professional growth, and comprehensive benefits, including:
  • Generous paid time off
  • Health, vision, and dental benefits
  • Long term/short term disability
  • Life insurance
  • 401(k) plan with match available immediately
  • Employee referral incentive
  • Remote or Hybrid telework arrangements are available for some positions

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