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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** AI AI LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Automated Storage and Retrieval Systems, Microsoft Azure, Code Review, Interaction Design, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Software Engineering, Systems Integration, Unstructured Data, Google Cloud, Enterprise Software Applications, Data Ingestion, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Llamaindex, Generative AI, Backend, Web Filtering, Containerization, Kubernetes, Information Technology, HuggingFace, Data Management, Machine Learning Operations, Front End Software Development, Serverless Computing, Docker, Microservices - **Published:** October 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/przbct8td5 ## About the Role * Ability to hold a position of public trust with the U.S. government. * Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field. * 5+ years of hands-on software engineering experience, with at least 2+ years focused on AI/ML, generative AI, or LLM-driven application development. * Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar. * Demonstrated ability to design and develop production-grade AI applications, including APIs, backend services, orchestration logic, and front-end integrations (when needed). * Experience implementing Retrieval-Augmented Generation (RAG) architectures, embeddings, vector stores, and context retrieval patterns. * Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design. * Strong understanding of cloud platforms (AWS, Azure, GCP), including compute, serverless services, and security fundamentals for AI workloads. * Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems. * Experience with structured and unstructured data, document processing, and application integration with existing enterprise systems. * Understanding of responsible AI principles including safety, fairness, privacy, and model risk mitigation. * Strong analytical and communication skills with the ability to collaborate across engineering, design, and mission domains. * Proven experience mentoring teammates and elevating the technical capabilities of development teams. ## Description We are seeking a highly skilled Senior AI Developer to join our dynamic team. In this role, you will be responsible for designing, building, and optimizing sophisticated AI solutions that span predictive analytics, generative models, and autonomous systems. Your expertise will be pivotal in translating complex mission requirements into scalable, production-ready AI applications. You will work across the entire AI development lifecycle-from data ingestion and experimentation to deployment and monitoring-collaborating closely with product managers, LLMOps engineers, designers, and mission stakeholders. Your contributions will directly impact our ability to deliver innovative AI-driven capabilities that meet the evolving needs of our clients and enhance operational outcomes., * Develop comprehensive AI solutions including large language model (LLM) powered applications, predictive machine learning models, multi-agent workflows, retrieval-augmented generation (RAG) pipelines, and specialized AI microservices. * Implement reusable AI components, libraries, and APIs to streamline application development and facilitate rapid deployment across various programs. * Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to ensure scalable and mission-critical capabilities. * Lead iterative experimentation, prototyping, and model refinement in collaboration with Data Scientists and AI Evaluation Specialists to improve accuracy and robustness. * Design and implement advanced prompt strategies, context management layers, retrieval systems, and orchestration logic for LLMs. * Build scalable inference services, optimize model performance, and collaborate with LLMOps teams to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams. * Implement security best practices by designing AI systems with safety guardrails, input sanitization, content filtering, and evaluation metrics to ensure trustworthy AI deployment. * Contribute to the development of internal AI frameworks, code standards, and shared accelerators that enhance delivery quality across the AI & Data Exploitation Practice. * Mentor junior developers, conduct code reviews, and promote engineering excellence within multidisciplinary AI teams. * Stay abreast of emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their potential applicability to client missions. * Contribute to the growth and maturity of our AI & Data Exploitation Practice by sharing knowledge and best practices.