Senior Platform Engineer, AI Applications
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Job Description
Senior Platform Engineer building production AI services, APIs, cloud infrastructure, and enterprise integrations. Supporting Improvix Technologies’ secure federal technology programs.
Responsibilities:
- Design, build, and maintain backend services and APIs in Python, Java, Go, or TypeScript
- Build front-end components or internal tooling when needed
- Maintain code quality through code reviews, automated testing, and shared engineering standards
- Design services with timeouts, retries, idempotency, and resilient dependency-failure behavior
- Build and maintain integrations with ServiceNow, enterprise data platforms, and internal APIs using REST, messaging, and event-driven patterns
- Integrate services with enterprise identity providers using OAuth 2.0, OIDC, and SAML
- Provide technical detail for cross-team requests and execute engineering work after dependencies clear
- Build and own CI/CD pipelines with automated build, testing, security scanning, and deployment
- Embed SAST, DAST, dependency and container scanning, secrets management, and least-privilege access
- Own ATO work, including control evidence, STIG or equivalent hardening, and remediation of findings
- Turn AI Solutions Architect designs into production LLM-backed services, RAG features, and model API integrations
- Build prompt and configuration management, evaluation hooks, guardrails, and usage/cost tracking
- Monitor AI features for quality, latency, cost, and safety and tune them as usage grows
- Deploy and run services in AWS or Azure government regions using infrastructure as code and containers on Kubernetes or managed equivalents
- Build observability with logging, metrics, tracing, alerting, and dashboards
- Break capabilities into deliverable increments, estimate work, and surface risks and dependencies
- Write runbooks, technical documentation, and handoff material
- Lead post-incident fixes for owned capabilities
Requirements:
- 8+ years of software engineering experience, including 3+ years building and owning production services end to end
- Strong programming ability in at least one backend language: Python, Java, Go, or TypeScript
- Track record designing RESTful APIs and services other systems depend on
- Hands-on experience integrating with enterprise platforms such as ServiceNow or a comparable system through APIs, messaging, or event streaming
- Identity integration experience with OAuth 2.0 and OIDC or SAML, using an enterprise identity provider such as Entra ID, Okta, or Keycloak
- Experience building and maintaining CI/CD pipelines with integrated security scanning
- Hands-on ATO or equivalent compliance work, including control evidence, system hardening, and remediation of findings
- At least one AI or ML capability delivered to production, such as an LLM-backed service, RAG feature, or model integration
- Working experience deploying to AWS or Azure with infrastructure as code and containers
- Experience building observability into systems and supporting them in production, including incident response
- Ability to work independently on a remote team and explain technical tradeoffs to technical and non-technical stakeholders
- Bachelor's degree in a technical field, or an equivalent combination of education and directly relevant experience
- U.S. citizenship
- Active Secret clearance
- Availability during East Coast business hours
- Bonus: ServiceNow IntegrationHub, MID Server, Scripted REST APIs, or Flow Designer
- Bonus: AWS GovCloud or Azure Government deployment experience
- Bonus: FedRAMP, NIST 800-53, and RMF familiarity
- Bonus: Amazon Bedrock, Azure OpenAI, vector databases, or LLM frameworks
- Bonus: LLM evaluation or guardrail tooling
- Bonus: AI-agent tools, tool-calling, or Model Context Protocol integrations
- Bonus: CompTIA Security+, another DoD 8140 baseline, AWS or Azure certification, or CKAD
- Bonus: Federal or defense customer experience in a cleared environment
Benefits:
- Competitive compensation and performance-based incentives
- 401(k) with company match
- Three weeks of paid annual leave that increases with tenure
- Comprehensive medical, dental, and vision insurance
- Life insurance and disability coverage
- Transit and commuting benefits
- Professional development and paid training opportunities
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