AI Software Engineer

Credence

Boston (MA)

On-site

USD 120,000 - 150,000

Full time

30 hours ago

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Benefits offered by this job

Health Care Plan

401(k) Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Training & Development

Wellness Resources

Job summary

Credence has an immediate need for an AI Software Engineer to join our AI and Automation practice. You will be a technical anchor in our AI and Automation practice, applying foundational AI skills to build and deploy data-driven solutions under mentorship from senior AI leaders.

You will collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions, while staying current on AI/ML trends and documenting development

Qualifications

Bachelor's or Master's in Computer Science, AI/ML, or related field.
3–7 years hands-on AI/ML experience delivering solutions.
Experience with generative AI and LLMs, and adding tool calls (MCP).
TypeScript and Python proficiency with common libraries.
Experience deploying apps on AWS or GCP and using container tools like Docker and Kubernetes.

Responsibilities

Contribute to generative AI and LLM projects, prototype and refine AI capabilities.
End-to-end AI development: models, agents, tool calls, response synthesis.
Maintain strong software engineering principles while leveraging AI code generation.
Collaborate with data engineers, software engineers, and data scientists to build operational AI systems.
Automate model deployment using IaC, CI/CD, and container orchestration tools.
Monitor AI systems post-deployment, tune performance, ensure reliability and scalability.
Document code following federal guidelines and support reproducible development.

Education

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

Tools

Docker

Kubernetes

Terraform

AWS CDK

CloudFormation

Job description

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence has an immediate need for anAI Software Engineerto join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.

Responsibilities include, but are not limited to the duties listed below

Generative AI & LLM Usage

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities

Agentic AI System Development

Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents

AI Software Engineer

Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows

Collaborative Engineering

Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems

Cloud Enablement

Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools

Production Monitoring & Optimization

Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability

Technical Rigor & Documentation

Write clean, well-documented code following industry and federal guidelines; support reproducible development

Professional Growth

Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews

Overview

Position Summary

Responsibilities include, but are not limited to the duties listed below

Generative AI & LLM Usage

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities
Agentic AI System Development

Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents
AI Software Engineer

Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows
Collaborative Engineering

Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems
Cloud Enablement

Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools
Production Monitoring & Optimization

Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability
Technical Rigor & Documentation

Write clean, well-documented code following industry and federal guidelines; support reproducible development
Professional Growth

Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews

Requirements

What You Bring

Bachelor's or Master's in Computer Science, AI/ML, or a related field
3-7 yearsof hands-on experience delivering AI/ML solutions
Experience in generative AI, working with LLMs, and adding 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 and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
Python proficiency and familiarity with libraries and 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

Preferred

Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact
Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem
Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications
Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks

Why This Role Matters

Real-World Impact— Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being
Growth-Oriented Environment— Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices
Culture of Empowerment— You'll be part of a team that values innovation, trust, collaboration, and mission success

Salary Range:$120,000 - $150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits