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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer 2026 - US - **Company:** Aimpoint Digital - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Automated Storage and Retrieval Systems, Microsoft Azure, Business Software, Business Systems, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Code Review, Computer Programming, Databases, Continuous Integration, Extract Transform Load (ETL), Cursor (Graphical User Interface Elements), Distributed Systems, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Search Technologies, Software Deployment, Software Engineering, TypeScript, Enterprise Data Management, Google Cloud, Enterprise Software Applications, GitHub Copilot, Flask (Web Framework), Large Language Models, Snowflake, Multi-Agent Systems, Concurrency, Spring-boot, Backend, Fastapi, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines, Serverless Computing, Databricks, Golang - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=13884b1c57640398 ## About the Role We are looking for engineers who enjoy solving difficult technical problems and building production software. You are comfortable moving between software engineering, AI application development, cloud architecture, and client collaboration. You understand that successful AI systems require excellent engineering, not just excellent models., * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience * 3+ years of professional software engineering experience building production applications * 1+ years designing and deploying AI or machine learning solutions into production * Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages * Experience building scalable backend systems, APIs, or distributed applications. * Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions * Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance * Experience with MLOps, LLMOps, or production deployment pipelines * Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design * Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses * Experience integrating AI applications with enterprise data sources, APIs, and business systems * Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies * Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies * Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders * Ability to independently own technical workstreams while collaborating across multidisciplinary teams Preferred Qualifications One or more of the following is a plus: * Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, and Express * Experience building multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applications * Experience designing distributed systems, concurrency, or high-scale cloud applications * Experience deploying AI solutions serving 1000+ users * Consulting experience or experience working directly with enterprise customers * Experience building data pipelines, including ETL, ELT, batch, and streaming pipelines for analytics and AI applications * Experience pre-training or fine-tuning LLMs We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA. ## Description As a Senior AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions. You will combine strong software engineering fundamentals with modern AI technologies to deliver production-ready systems that create measurable business value. You will work across the entire AI engineering lifecycle; from solution architecture and application development to deployment, evaluation, and operationalization. What You Will Do * Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows * Translate business problems into scalable technical solutions using modern AI engineering best practices * Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems * Build multi-agent systems, AI agents, workflow automation, and decision-support systems * Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance * Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications * Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders * Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring * Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice * Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)