AI/ML Software Developer

**Secret OR Top Secret Clearance Required** We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models. PixelRain AI is a small, fast-moving AI company delivering an AI-powered product-lifecycle knowledge platform for a U.S. Department of War (DoW) customer: governed ingestion of technical documents, an enterprise ontology and knowledge graph, and generative-AI applications that draft maintenance-planning products and answer engineering questions with citations — running in the customer's cloud environment, with an offline variant for disconnected use. Small team, real users, working software demonstrated every sprint.. You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments. Accepting all skill levels: salary based on skill level and technical competencies Salary: 105,000 - 180,000 Key Responsibilities Full Stack Development Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs) Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django) Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar) Architect and implement RESTful and/or GraphQL APIs Ensure application performance, scalability, and security across the stack Database & Data Engineering Design, develop, and optimize relational and/or NoSQL database systems Create efficient data models and schemas to support large-scale applications Develop scripts and pipelines to ingest, transform, and manage data flows Troubleshoot performance bottlenecks and ensure data integrity Work with large, complex datasets to enable analytics and AI use cases Generative AI / LLM Integration Build, test, and deploy LLM-powered applications and workflows Integrate Generative AI capabilities into existing platforms and user experiences Evaluate and assess LLM outputs for performance, accuracy, and usability Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases System Design & Architecture Contribute to the design of scalable, distributed system architectures Collaborate with engineers to integrate AI components into enterprise environments Balance tradeoffs between performance, cost, and scalability Support CI/CD pipelines and DevSecOps best practices for deployment Client & Mission Support Translate ambiguous requirements into…