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 competenciesSalary: 105,000 - 190,000Key ResponsibilitiesFull Stack DevelopmentDesign, 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 APIsEnsure application performance, scalability, and security across the stackDatabase & Data EngineeringDesign, develop, and optimize relational and/or NoSQL database systemsCreate efficient data models and schemas to support large-scale applicationsDevelop scripts and pipelines to ingest, transform, and manage data flowsTroubleshoot performance bottlenecks and ensure data integrityWork with large, complex datasets to enable analytics and AI use casesGenerative AI / LLM IntegrationBuild, test, and deploy LLM-powered applications and workflowsIntegrate Generative AI capabilities into existing platforms and user experiencesEvaluate and assess LLM outputs for performance, accuracy, and usabilityImplement Retrieval-Augmented Generation (RAG) pipelines and vector database integrationsSupport fine-tuning, prompt engineering, and optimization of models for mission-specific use casesSystem Design & ArchitectureContribute to the design of scalable, distributed system architecturesCollaborate with engineers to integrate AI components into enterprise environmentsBalance tradeoffs between performance, cost, and scalabilitySupport CI/CD pipelines and DevSecOps best practices for deploymentClient & Mission SupportTranslate ambiguous requirements into technical solutionsHelp stakeholders understand evolving AI/technology optionsProvide guidance on best practices for integrating AI into business workflowsRequirementsRequired Qualifications7+ years designing, building, and shipping full-stack web applications.Hands-on AWS experience - compute, storage, IAM, OpenSearch or similar (GovCloud experience a plus).Strong Python and modern JavaScript; comfortable owning a feature across the stack.Real experience building with LLMs and GenAI: RAG, embeddings, prompt design, and model APIs - not just using chat tools.Systems-integration experience: REST APIs and data exchange with enterprise systems.Strong experience developing Python applications from scratch, including testing and deploymentHands-on experience with full stack development (front-end + back-end)Proficiency with database design and management (SQL and/or NoSQL)Experience with data wrangling, transformation, and scripting for data pipelinesFamiliarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflowsExperience building and consuming APIsUnderstanding of software development best practices (version control, testing, CI/CD)Preferred / Nice-to-Have QualificationsExperience deploying and managing LLMs locally and in AWS environmentsHands-on experience with fine-tuning models and integrating them into production systemsExperience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS)Knowledge of prompt engineering and content filtering techniquesFamiliarity with frameworks such as LangChain, LlamaIndex, or OpenAI function callingExperience with model distillation and optimizationExposure to knowledge graphs and graph databases (e.g., Neo4j)Experience working in cloud environments (AWS, Azure, or GCP)BenefitsInterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.