Principal Software Engineer — AI Platform

Job ID: 9607
Job Type: Direct Hire
Salary Range: Salary Range: $150K - $175K
Plantation, Florida, US
Referral Bonus: +/- $3600
Posted:

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 Title: Principal Software Engineer — AI Platform
Location: Remote
Job Type: Full-Time
Referral Bonus: $3,000 +/-
Candidate Must reside in: FL, TX, IL, NY, NJ, CO, ID, MA, MI, MN, MO, NC, SC, UT, VA

What We Are Looking For

Our client is building an AI-first culture where AI is a core part of daily work and is used responsibly, securely, and transparently under governance standards.

We are looking for a builder-at-heart Principal Software Engineer to help build an AI Platform from the ground up (MCP gateway, AI portal/skills marketplace, identity layer, and agentic flows). This is a hands-on role for someone who codes the hardest problems, sets the technical bar, and thrives in ambiguity—turning emerging AI capabilities into secure, reliable, reusable platform infrastructure that accelerates software delivery.

Responsibilities

  • Architect and hands-on build the core of the AI Platform: MCP gateway, AI portal/skills marketplace, identity brokering layer, and agentic execution flows
  • Code the most complex/ambiguous solutions and set the technical bar for the platform
  • Design secure-by-default integrations between internal systems and AI agents (authentication, authorization, RBAC, audit logging)
  • Build telemetry/observability to make AI usage and spec-driven development measurable across the organization
  • Partner with engineering teams to turn workflows into reusable skills, MCP servers, and agentic routines
  • Establish patterns, guardrails, and “golden paths” for fast and safe adoption of AI tooling within governance standards
  • Champion best practices in development, testing, and deployment; ensure scalability, reliability, and performance in a Kubernetes/DevOps environment
  • Evaluate emerging models/frameworks/agent patterns and incorporate valuable approaches into the platform

Required Qualifications

  • Bachelor’s degree or equivalent work experience
  • 7+ years of relevant software engineering experience
  • Demonstrated experience designing and building platform/infrastructure/backend services used by other engineering teams
  • Deep, hands-on experience building and operating production backend services and developer platforms
  • Mastery of 2+ modern general-purpose programming languages (e.g., Python, TypeScript); Go or C# is a plus
  • Strong understanding of REST API design, GraphQL (building and consuming), and microservices architecture
  • Hands-on experience with cloud platforms (e.g., AWS) and container tooling (Docker, Kubernetes)
  • Experience building on/integrating with LLMs and agentic systems (tool/function calling, MCP, retrieval, evaluation)
  • Solid grounding in identity and access management (OAuth2/OIDC, SSO, RBAC); Keycloak, Entra ID, or Auth0 strongly preferred
  • Familiarity with scripting/automation (Bash/PowerShell) and CI/CD + infrastructure as code (e.g., GitLab CI, Helm)
  • Comfort operating in ambiguity; ability to solve problems without an existing blueprint
  • Excellent communication and ability to influence/collaborate across teams
  • Embraces AI as a core part of daily workflow and a partner in problem-solving

Preferred Qualifications

  • Hands-on experience building LLM-powered or agentic applications (MCP servers, tool-calling agents, retrieval/RAG)
  • Python and/or TypeScript/Node development experience
  • Identity and access management experience (Keycloak, Entra ID, Auth0; OAuth2/OIDC)
  • Cloud architecture and deployment (AWS, EKS); hands-on Docker/Kubernetes experience
  • Experience with observability and telemetry tooling
  • Financial services or brokerage domain experience

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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.

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