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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** ANALYTICA - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Microsoft Azure, Cloud Computing, Databases, Content Analysis, Information Engineering, Data Governance, Data Visualization, Decision Support Systems, Linux, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, Open Source Technology, Tensorflow, Search Technologies, Software Engineering, Systems Integration, Unstructured Data, Data Logging, Large Language Models, IT Architecture, Software Application Programming, Generative AI, Question Answering, AI Platforms, Kubernetes, Information Technology, Rancher, Data Analytics, Api Design, Software Version Control, Data Pipelines, Api Management, Jenkins - **Published:** September 16, 2026 - **Apply:** https://www.thejobnetwork.com/job/c7c9c2a0-b8cf-4a6d-86ba-7e5cbd1e9824/senior-ai-engineer ## About the Role * Hands-on experience developing applications using LLMs, RAG, semantic search, or generative AI. * Experience building AI services for search, summarization, document analysis, question answering, or decision support. * Strong Python and API development skills. * Experience with embeddings, vector search, retrieval, prompt orchestration, and LLM evaluation. * Experience implementing source citation, grounding, traceability, and output validation. * Experience implementing AI guardrails, access controls, logging, monitoring, and error handling. * Experience integrating AI/LLM services with databases, APIs, search platforms, and data pipelines. * Strong technical communication, documentation, problem-solving, and cross-functional collaboration skills. * U.S. citizenship and ability to obtain and maintain Top Secret eligibility. * Active Top Secret clearance highly preferred. Preferred Qualifications * Experience developing AI/LLM solutions for Federal financial, grants, budget, payment, award oversight, or financial reporting data. * Experience deploying AI applications in secure Federal, on-premises, cloud, or hybrid environments. * Experience with open-source LLMs and AI/ML frameworks. * Experience with vector databases, semantic search engines, or hybrid search architectures. * Experience with Linux. * Familiarity with PostgreSQL and/or Microsoft SQL Server. * Experience with Kubernetes and/or Rancher. * Familiarity with Jenkins, self-hosted Azure DevOps, and CI/CD pipelines. * Familiarity with Java and/or .NET applications and API integrations. * Experience with LLM observability, evaluation frameworks, prompt/version management, and AI application lifecycle management. * Familiarity with AI security, model governance, responsible AI, and data protection practices. ## Description We are seeking an experienced Senior AI Engineer to build retrieval, semantic search, summarization, and source-traceable AI application capabilities for a Federal data analytics and AI modernization initiative. The team will deliver a secure, scalable platform that integrates structured and unstructured data, provides data visualization and traceable AI-assisted analytics, and gives examiners centralized tools for search, review, monitoring, and decision support. The platform will support professional judgment and will not replace authoritative agency financial or grants-management systems or execute financial transactions., * Implement prompt orchestration, context management, evaluation, source citation, and output grounding. * Implement guardrails, access controls, authentication, logging, error handling, and output validation. * Evaluate and optimize AI applications for accuracy, relevance, groundedness, latency, and reliability. * Integrate AI services with databases, search platforms, APIs, and existing data pipelines. * Troubleshoot and optimize LLM, retrieval, API, and AI application workflows. * Develop technical documentation for AI architecture, retrieval workflows, APIs, evaluation methods, and operational procedures. * Collaborate with AI/ML, data engineering, data science, and software engineering teams throughout development and testing. * Apply security, privacy, accessibility, data governance, and records-management requirements to AI applications., To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. * Application Review: AI tools may help identify skills and experiences relevant to the role. * Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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