Soft Tech Consulting

AI Mid Software Engineer

Soft Tech Consulting$110K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Top Secret Clearance required.
  • Bachelor's degree in a related field.
  • 5+ years of relevant software engineering experience.
  • Proficient in Python; familiarity with JavaScript preferred.
  • Experience in designing structured tests for AI behavior.
  • Strong skills in diagnosing AI failures and implementing corrections.
  • Good understanding of AWS Bedrock services and data modeling techniques.

Responsibilities

  • Design and optimize agentic AI systems using orchestration frameworks.
  • Implement multi-step, tool-enabled AI workflows combining various technologies.
  • Utilize foundation models for advanced capabilities like summarization and planning.
  • Iterate on AI workflows through prompt engineering and tool-use optimization.
  • Conduct structured testing and evaluations of AI agent behavior.
  • Diagnose and address AI system issues, implementing corrective strategies.
  • Document AI model behaviors, workflows, and experimental findings.

Benefits

  • Medical, dental, and vision insurance coverage.
  • 401(k) retirement plan.
  • Short and long-term disability insurance.
  • Life insurance policy benefits.
  • Paid time off and paid holidays.
Full Job Description
Soft Tech Consulting is seeking an AI Mid Software Engineer with strong technical acumen, creativity, and problem-solving ability to design, implement, and optimize AI-powered 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 multi-agent systems, integrate AI with enterprise applications and data systems, and iteratively tune and evaluate agent behavior to deliver reliable, real-world outcomes.

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

Responsibilities

  • Design, build, and optimize agentic AI systems using orchestration frameworks like LangGraph, CrewAI, Google ADK, or AWS Bedrock AgentCore, etc.
  • Implement multi-step, tool-enabled 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 tool-use optimization.
  • Conduct structured testing and evaluation of AI behavior, including regression tests, scenario-based evaluations, synthetic test creation, and model-to-model comparisons.
  • Diagnose issues such as hallucinations, retrieval mismatches, tool-use 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 safe-use guidelines.


Qualifications

REQUIRED
  • Top Secret Cleared.
  • Bachelor's Degree required.
  • Minimum 5 years of related experience.
  • Ability to iteratively tune, evaluate, and validate AI workflows, including refining prompts, agent configurations, tool-calling patterns, and retrieval strategies.
  • Experience designing and running structured tests for AI behavior such as regression tests, scenario-based evaluations, synthetic testing, and model comparisons.
  • Skill in diagnosing and correcting AI system failures, including hallucinations, retrieval issues, or tool-use 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).
  • Experience with AI Agents & Workflow Integration (Intermediate)
  • Experience with AI Prompting (Intermediate)
  • Python Software Development (Intermediate)
  • AWS AI Services (Intermediate)
  • Experience with AI Architecture (Intermediate)
  • Must be able to communicate effectively, both verbal and written.
  • Must be able to work independently, with minimal oversight.
  • Able to develop strong client relationships

PREFERRED
  • Master's in Computer Science


MUST BE A UNITED STATES CITIZEN

TOP SECRETCLEARANCE REQUIRED

100% ONSITE - WASHINGTON, DC

NO THIRD PARTY VENDORS

SALARY IS DEPENDENT UPON THE CANDIDATE'S SKILLS, EXPERIENCE, EDUCATION AND CERTIFICATIONS

Soft Tech offers competitive BENEFITS in the areas of: MEDICAL, DENTAL, VISION, 401K, Short Term Disability, Long Term Disability, Life Insurance, PTO, AND PAID HOLIDAYS

About Soft Tech Consulting

Soft Tech Consulting is a technology and management consulting firm that provides services to government agencies and commercial clients. The company specializes in areas such as cybersecurity, cloud computing, data analytics, and software development. Soft Tech Consulting was founded in 1996 and is headquartered in Reston, Virginia.
Learn more about Soft Tech Consulting
Size
800 employees
Industry
Net Income
$2 million
Founded
1996
5 Year Trend
+20%
Revenue
$30 million

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