Soft Tech Consulting

AI Senior Software Engineer

Soft Tech Consulting$130K — $155K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Top Secret Clearance Required
  • Bachelor's Degree
  • 7-10 years of related experience
  • Proficient in Python, familiarity with JavaScript a plus
  • Experience with AWS Bedrock services
  • Strong skills in diagnosing AI system issues
  • Ability to document AI models and workflows

Responsibilities

  • Design and optimize AI systems using orchestration frameworks like LangGraph and AWS Bedrock
  • Implement AI workflows combining LLM reasoning with external APIs and custom tools
  • Utilize foundation models for structured generation and decision support
  • Tweak AI workflows through prompt engineering and agent configuration
  • Conduct thorough testing and evaluation of AI behaviors
  • Diagnose AI issues and implement corrective measures
  • Integrate AI components with infrastructure tools and databases

Benefits

  • Medical, dental, and vision coverage
  • 401K plan
  • Short-term and long-term disability insurance
  • Life insurance
  • Paid time off (PTO)
  • Paid holidays
Full Job Description
Overview

MUST BE A UNITED STATES CITIZEN

TOP SECRET CLEARANCE REQUIRED

100% ONSITE - WASHINGTON, DC

NO THIRD PARTY VENDORS

SALARY IS DEPENDENT UPON THE CANDIDATE9S SKILLS, EXPERIENCE, EDUCATION AND CERTIFICATIONSSoft Tech offers competitive BENEFITS in the areas of: MEDICAL, DENTAL, VISION, 401K, Short Term Disability, Long Term Disability, Life Insurance, PTO, AND PAID HOLIDAYS

Soft Tech Consulting is seeking an AI Senior Software 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.

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, productionready AI systems that transform our clients9 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 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 toolsworking 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.
Qualifications

REQUIRED:

  • Top Secret Cleared.
  • Bachelor's Degree.
  • Minimum 7-10 years of related experience.
  • 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.
  • Skills 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).
  • Experience with AI Agents & Workflow Integration (Advanced).
  • Experience with AI Prompting (Advanced).
  • Python Software Development (Advanced).
  • AWS AI Services (Advanced).
  • Experience with AI Architecture (Advanced).
  • Must be able to communicate effectively, both verbal and written.
  • Must be able to work independently, withminimal oversight.
  • Able to develop strong client relationships.

PREFERRED

  • Master's in Computer Science (Preferred)

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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