Production AI Engineer — Remote Enterprise Solutions

Aimpoint Digital; Atlanta (GA); Remote; USD 120.000 - 190.000; Vollzeit

Zusammenfassung

Aimpoint Digital is seeking a Forward Deployed AI Engineer to design, build, deploy, and scale production AI solutions for enterprise clients. This role blends software engineering with AI development to deliver production-ready systems that drive measurable business value.

You will oversee the full AI engineering lifecycle, from architecture and application development to deployment, evaluation, and operationalization, collaborating across engineering, data, product, and security teams.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Strong programming skills

Python

Java

C#

Go

TypeScript

Cloud platforms (AWS/Azure/GCP)

Kubernetes

CI/CD

Distributed systems

AI/MLOps

Observability/monitoring

Excellent communication

Client collaboration

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

FastAPI

Flask

Spring Boot

.NET

Express

Kubernetes

AWS

Azure

GCP

GitHub Copilot

Jobbeschreibung

Aimpoint Digital is seeking a Forward Deployed AI Engineer to design, build, deploy, and scale production AI solutions for enterprise clients. This role blends software engineering with AI development to deliver production-ready systems that drive measurable business value.

You will oversee the full AI engineering lifecycle, from architecture and application development to deployment, evaluation, and operationalization, collaborating across engineering, data, product, and security teams.