Senior AI Engineer
New
A
Aimpoint DigitalData and AI Advisory
Remote work within the USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3+ years of professional software engineering experience; 1+ years designing and deploying AI or machine learning solutions into production
- Required Skills
- PythonJavaKubernetesTypeScriptC#GoMLOps
Requirements
- 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 coding harnesses such as GitHub Copilot or Cursor
- Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies
Responsibilities
- 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
- Contribute reusable accelerators, frameworks, technical assets, and thought leadership
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