Agentic AI Engineer for Federal Missions

Credence; Tysons (VA); Sur place; USD 120 000 - 150 000; Plein temps

Avantages offerts par ce poste

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & )

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Wellness Resources

Résumé du poste

Credence is hiring an AI Software Engineer to join our AI and Automation practice. You will contribute to data-driven AI capabilities, work under senior leaders, and collaborate across engineering, data, and stakeholder teams to deliver cloud-native solutions for federal missions.

You'll prototype, deploy, and monitor AI systems, while maintaining strong software engineering practices and staying current with AI trends through mentorship and design reviews.

Qualifications

• Bachelor's or Master's in Computer Science, AI/ML, or related field
• 3-7 years of hands-on AI/ML solution delivery
• Experience with generative AI, LLMs, and tool calls (MCP)
• Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform
• Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock
• Typescript proficiency and familiarity with key libraries/frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
• Python proficiency and familiarity with libraries/frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured)
• Experience deploying applications using cloud platforms (AWS, GCP) and container tools (Docker, Kubernetes)
• Familiarity with CI/CD pipelines (GitLab CI)
• Experience with AI coding tools (Claude Code, Codex, Antigravity)
• Strong communication skills and client‑oriented mindset
• U.S. Citizenship with eligibility for DoD Secret clearance

Responsabilités

• Generative AI & LLM Usage: prototype, customize, and refine AI capabilities
• Agentic AI System Development: end-to-end model selection, tool calls, and synthesis
• AI Software Engineer: apply AI code generation to accelerate workflows
• Collaborative Engineering: work with data/software engineers and data scientists
• Cloud Enablement: automate deployment workflows using IaC, CI/CD, containers
• Production Monitoring & Optimization: monitor, tune performance, ensure reliability
• Technical Rigor & Documentation: write clean, well-documented code
• Professional Growth: stay current on AI trends and participate in design reviews

Connaissances

Typescript

Python

AWS

GCP

Docker

Kubernetes

NextJS

LangChain

Pydantic

FastAPI

CrewAI

OpenAI API

Anthropic API

Gemini API

Bedrock API

CI/CD

GitLab CI

Terraform

Vercel AI SDK

Playwright

Jest

Vite

Formation

Bachelor's degree in Computer Science/AI/ML or related field

Master's degree in Computer Science/AI/ML or related field

Outils

Nx

NextJS

Mastra

Vercel AI SDK

Playwright

Jest

Vite

uv

Pydantic

FastAPI

LangChain

LangGraph

Unstructured

Docker

Kubernetes

Terraform

OpenAI

Description du poste

Credence is hiring an AI Software Engineer to join our AI and Automation practice. You will contribute to data-driven AI capabilities, work under senior leaders, and collaborate across engineering, data, and stakeholder teams to deliver cloud-native solutions for federal missions.

You'll prototype, deploy, and monitor AI systems, while maintaining strong software engineering practices and staying current with AI trends through mentorship and design reviews.