Lead AI Engineer

Job not on LinkedIn

🔥 1 minute ago

🌐 United States, Colombia, +1 more countries – Remote

🇺🇸 United States – Remote 🇨🇴 Colombia – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aimpoint Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

💼 Consulting

Artificial Intelligence • Analytics • Consulting

Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.

📋 Description

• 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 integrating AI capabilities into enterprise systems • Build multi-agent systems, AI agents, workflow automation, and decision-support systems • Deploy AI solutions into production with security, observability, monitoring, evaluation, and governance • Integrate AI systems with enterprise data platforms, APIs, databases, messaging systems, and business applications • Collaborate with engineering, data, product, architecture, security, and business stakeholders on client teams • Deploy and operate containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring • Contribute reusable accelerators, frameworks, technical assets, and thought leadership to the AI Engineering practice • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes

🎯 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 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 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 technical and non-technical stakeholders • Ability to independently own technical workstreams while collaborating across multidisciplinary teams • Preferred: experience with FastAPI, Flask, Spring Boot, .NET, Express, multi-agent systems, AI workflows, agents, semantic search, vector databases, knowledge graphs, distributed systems, concurrency, high-scale cloud applications, AI solutions serving 1000+ users, consulting or enterprise customers, data pipelines, or LLM pre-training/fine-tuning