Senior AI Full Stack Developer

Location: Washington, DC metropolitan area; hybrid with 3 days per week on site in DC. Must be a U.S. citizen or lawful permanent resident, reside in the Washington, DC metropolitan area, and be able to pass and maintain a Government background investigation.

Company

hirify.global delivers secure digital platforms, infrastructure, operational IT services, cloud and hybrid infrastructure, platform engineering, security operations, application modernization, and data platforms to government organizations.

What you will do

• Design, develop, integrate, deploy, and operate secure AI-enabled applications, APIs, services, and accessible user interfaces.
• Build LLM integrations, RAG pipelines, embeddings, vector search, and MCP-based agentic workflows within a government AI security framework.
• Plan and oversee functional, regression, performance, accessibility, adversarial, model-quality, and user acceptance testing.
• Conduct prompt injection, jailbreak, and data-poisoning tests; document mitigations and maintain RAG knowledge-base refresh schedules.
• Enforce DevSecOps and MLOps promotion controls, support releases, SBOMs, ATO documentation, vulnerability remediation, monitoring, and production operations.
• Handle Tier 2/Tier 3 escalations, root-cause analysis, code and prompt reviews, developer mentoring, and technical backup for the Lead AI Engineer.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Systems, or a related discipline and 5+ years of relevant experience, including 5+ years of hands-on AI/ML engineering, AI-enabled application development, data engineering, cloud engineering, or software engineering.
• 1+ year of hands-on experience with Generative AI, LLM integration, RAG, model evaluation, agentic AI, or production AI systems.
• Strong Python proficiency and experience developing AI-enabled applications, APIs, services, automation, RAG pipelines, semantic retrieval, vector databases, and cloud-based AI workflow orchestration.
• Knowledge of AI testing, model evaluation, Responsible AI practices, and AI security controls in secure enterprise or federal cloud environments, including prompt injection, jailbreak, data poisoning, and mitigation documentation.
• Experience developing AI-enabled user interfaces conforming to Section 508 / WCAG 2.1 A and AA, plus release management, documentation, monitoring, and operational support.
• At least one current Generative AI or Machine Learning certification, Microsoft Azure AI, AWS Generative AI/ML, Google Cloud, Databricks, NVIDIA, Certified Artificial Intelligence Practitioner (CAIP), or equivalent.
• U.S. citizenship or lawful permanent residence, Washington, DC metropolitan-area residence, and eligibility to pass and maintain a Government background investigation are required.

Nice to have

• 7+ years of experience, including federal agency programs, with React or Angular with TypeScript, Docker/Kubernetes, and CI/CD tooling.
• Experience with LangGraph, LlamaIndex, Semantic Kernel, Model Context Protocol, vLLM, TGI, Amazon Bedrock, Amazon SageMaker, Lambda, and AWS Cloud AI development.
• Experience in FedRAMP High or GovCloud environments, CycloneDX/SPDX SBOM formats, AI-assisted accessibility remediation, OCR, or PDF tagging.
• A current, favorably adjudicated federal background investigation.

Culture & Benefits

• Hybrid work arrangement with required on-site presence in DC three days per week.
• Medical, dental, vision, FSA, HSA, life, AD&D, critical illness, and short- and long-term disability insurance.
• Retirement plan with a 4% match and discretionary year-end match.
• 15 days of accrued PTO per year, seven holidays, three floating holidays, two paid innovation and training days, parental leave, and jury duty leave.
• Training and development, wellness incentives, discount programs, employee referrals, charity donation matching, and recognition awards.