Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications. As a Senior AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions.

Company: Aimpoint Digital

Role: Senior AI Engineer 2026 - US

Location: Atlanta, GA - Remote (any location)

Experience:

3+ years of professional software engineering experience building production applications
1+ years designing and deploying AI or machine learning solutions into production

Key Skills:

Python
Java
C#
Go
TypeScript
LLMs
machine learning models
intelligent automation solutions
MLOps
LLMOps
production deployment pipelines
Kubernetes
containerized applications
cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake

Qualification:

Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages
Experience building scalable backend systems, APIs, or distributed applications
Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design

Role Focus:

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

Additional responsibilities:

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

Nice to have:

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

Other:

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.
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

Senior AI Engineer 2026 - US

Skills Required

Description