Senior AI Developer

Snowrelic Inc; Washington (District of Columbia); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Snowrelic Inc in Washington DC is seeking a Senior AI Developer to lead the design, development, integration, and deployment of secure, scalable AI-enabled applications and services for Federal Government missions. The role focuses on turning approved AI models into production-ready applications, APIs, workflow automations, and human-in-the-loop solutions.

The candidate will collaborate with software engineers, data scientists, cybersecurity, and product owners in an Agile environment to deliver

Qualifications

• Bachelor's degree in CS, SE, IS or a related technical discipline.
• 3+ years of professional software development experience with AI-enabled apps.
• Strong programming experience with Python, TypeScript/JavaScript, Java, or C#.
• Experience with REST APIs, databases, Git, and CI/CD.
• Hands-on experience with LLMs, Generative AI, NLP, or document intelligence.
• Experience designing AI capabilities into production apps.
• Understanding of security and data protection.
• Experience in Agile environments.

Responsibilities

• Design and develop full-stack AI applications, APIs, microservices, dashboards, and workflow automations.
• Integrate LLMs, Generative AI, RAG pipelines, NLP, classification models, document intelligence, predictive analytics, agentic workflows, and MCP-based services.
• Build AI backend services integrating with vector stores, data platforms, identity providers, enterprise systems, and cloud services.
• Develop accessible applications meeting Section 508 and WCAG 2.1 Level A/AA requirements.
• Implement human-in-the-loop capabilities, including review queues, approvals, overrides, escalation workflows, feedback mechanisms, audit trails, and role-based access.
• Design and implement secure AI solutions, including prompt-injection protection, secure prompt/context handling, output validation, controlled tool use, and audit logging.
• Develop modular and maintainable code using secure SDLC practices, Git, code reviews, automated testing, and CI/CD.
• Develop and maintain unit, integration, API, regression, performance, security, and accessibility tests.
• Support production deployments, monitoring, incident response, troubleshooting, and continuous improvement.
• Contribute to architecture decisions, technical documentation, deployment procedures, runbooks, and knowledge transfer.
• Collaborate with software engineers, data scientists, cybersecurity teams, product owners, and other stakeholders in an Agile environment.

Skills

Python

TypeScript/JavaScript

REST APIs

CI/CD

Security

Agile

AI/ML APIs

DevSecOps

Education

Bachelor's degree in Computer Science / Software Engineering / Information Systems

Tools

Git

Docker

Kubernetes

CI/CD pipelines

Job description

Position Summary

The Senior AI Developer will lead the design, development, integration, and deployment of secure, scalable, accessible, and maintainable AI-enabled applications and services. The role involves turning approved AI models and data capabilities into production-ready applications, APIs, workflow automations, and human-in-the-loop solutions supporting Federal Government missions.

Washington DC - 3 days onsite

Position Summary

The Senior AI Developer will lead the design, development, integration, and deployment of secure, scalable, accessible, and maintainable AI-enabled applications and services. The role involves turning approved AI models and data capabilities into production-ready applications, APIs, workflow automations, and human-in-the-loop solutions supporting Federal Government missions.

Key Responsibilities

• Design and develop full-stack AI applications, APIs, microservices, dashboards, and workflow automations.
• Integrate LLMs, Generative AI, RAG pipelines, NLP, classification models, document intelligence, predictive analytics, agentic workflows, and MCP-based services.
• Build AI backend services integrating with vector stores, data platforms, identity providers, enterprise systems, and cloud services.
• Develop accessible applications meeting Section 508 and WCAG 2.1 Level A/AA requirements.
• Implement human-in-the-loop capabilities, including review queues, approvals, overrides, escalation workflows, feedback mechanisms, audit trails, and role-based access.
• Design and implement secure AI solutions, including prompt-injection protection, secure prompt/context handling, output validation, controlled tool use, and audit logging.
• Develop modular and maintainable code using secure SDLC practices, Git, code reviews, automated testing, and CI/CD.
• Develop and maintain unit, integration, API, regression, performance, security, and accessibility tests.
• Support production deployments, monitoring, incident response, troubleshooting, and continuous improvement.
• Contribute to architecture decisions, technical documentation, deployment procedures, runbooks, and knowledge transfer.
• Collaborate with software engineers, data scientists, cybersecurity teams, product owners, and other stakeholders in an Agile environment.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• 3+ years of professional software development experience, with significant hands‑on experience developing AI-enabled applications.
• Strong programming experience with Python, JavaScript/TypeScript, Java, C#, or similar languages.
• Strong experience with REST APIs, databases, Git, automated testing, CI/CD, and modern software‑development practices.
• Hands‑on experience with LLMs, Generative AI, RAG, NLP, AI/ML APIs, search, automation, or document intelligence.
• Experience designing and integrating AI capabilities into production applications.
• Understanding of application security, secure coding, authentication, authorization, API security, and data protection.
• Experience working in Agile and cross‑functional development environments.

Preferred Qualifications

• React, Angular, Vue, Node.js, FastAPI, Flask, Django, Spring Boot, or .NET
• LangChain, LangGraph, LlamaIndex, Semantic Kernel, MCP
• Vector databases/stores and semantic search
• Docker, Kubernetes, serverless, Infrastructure as Code, API gateways
• Section 508 / WCAG accessibility development
• Federal Government IT or secure DevSecOps environments
• FedRAMP‑authorized cloud services
• Experience with AI governance, AI security, human oversight, auditability, and responsible AI implementation

If you re open to exploring a senior-level AI opportunity where you can work on real-world Generative AI, LLM, RAG, and AI application development within a Federal Government