Lead AI Engineer 2026 - US, COL, UK
Aimpoint Digital2 days ago
Remote, United States +3 moreStaff+
Responsibilities
- Design, build, deploy, and scale production AI applications, copilots, retrieval systems, and agentic workflows.
- Translate business problems into scalable technical solutions and develop backend services, APIs, and application architectures.
- Build multi-agent systems, AI agents, workflow automation, and decision-support systems.
- Deploy and operate containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring.
- Integrate AI systems with enterprise data platforms, APIs, databases, messaging systems, and business applications.
- Apply security, observability, monitoring, evaluation, governance, and production deployment practices.
- Collaborate directly with client engineering, data, product, architecture, security, and business stakeholders.
- Contribute reusable accelerators, frameworks, technical assets, and thought leadership to the AI Engineering practice.
- Stay current with emerging AI technologies and recommend approaches that improve client outcomes.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
- At least 3 years of professional software engineering experience building production applications.
- At least 1 year of experience designing and deploying AI or machine learning solutions into production.
- Strong programming experience with 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, AI governance, MLOps, LLMOps, or production deployment pipelines.
- 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 comparable coding harnesses.
- Experience integrating AI applications with enterprise data sources, APIs, and business systems.
- Familiarity with AWS, Azure, GCP, Databricks, Snowflake, or similar cloud technologies.
- Experience deploying applications with containers, Kubernetes, serverless platforms, or similar cloud-native technologies.
- Strong communication skills and the ability to explain technical concepts to technical and non-technical stakeholders.
- Ability to independently own technical workstreams while collaborating across multidisciplinary teams.
- Preferred experience includes FastAPI, Flask, Spring Boot, .NET, Express, multi-agent systems, semantic search, vector databases, knowledge graph retrieval, distributed systems, high-scale cloud applications, serving 1,000+ users, consulting or enterprise customers, data pipelines, and LLM pre-training or fine-tuning.
Benefits
- Full-time remote work is available within the US, Colombia, and the UK.
- Atlanta-based applicants may work from the headquarters in Sandy Springs, Georgia.
Tech Stack
AWSAzureC#DatabricksExpressFastAPIFlaskGoGoogle Cloud PlatformJavaKubernetes.NETPythonSnowflakeSpring BootTypeScript
Categories
Forward Deployed
About Aimpoint Digital
Aimpoint Digital is a data, AI, analytics, and operations research consulting and solution engineering firm that designs, builds, and operationalizes enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications for growth-stage companies and large enterprises in the US and UK. Its work spans AI architecture, platform engineering, and advanced analytics leveraging tools such as Snowflake and Databricks. Founded in 2017, the company is a private partnership headquartered in Atlanta, Georgia.