CO01 - Full Stack AI Engineer
About the Company
We are partnering with a rapidly growing AI-native technology company transforming how enterprise organizations leverage artificial intelligence to solve highly complex operational challenges across asset-intensive industries.
Rather than simply delivering AI software, the company combines deep industry expertise with modern AI engineering to build and operate mission-critical AI solutions for enterprise customers. Its work spans data platform modernization, intelligent workflow automation, domain-specific AI systems, agentic applications, and production-grade AI infrastructure deployed within large industrial environments.
Operating across sectors such as energy, infrastructure, architecture, engineering, and industrial construction, the organization develops AI-powered products while also acting as a strategic technology partner for enterprise customers. Their engineers work closely with client stakeholders to understand complex business processes, design tailored AI solutions, and deliver measurable operational outcomes.
As the company continues expanding internationally, they are investing heavily in agentic AI, proprietary data platforms, cloud-native infrastructure, model hosting, enterprise AI architecture, and production-ready AI systems capable of delivering exceptional quality, speed, and reliability.
About the Role – Full Stack AI Engineer
Reporting directly to the technical leadership team, the Full Stack AI Engineer will play a key role in designing, building, and deploying AI-powered applications used by enterprise customers operating in highly demanding environments.
This is a hands-on engineering role for someone equally comfortable building modern full stack applications, architecting cloud-native backend services, and developing production-ready AI solutions. You will work across the entire lifecycle—from understanding customer problems and designing technical solutions to deploying scalable AI systems that generate measurable business value.
Beyond strong engineering skills, we're looking for someone with a consulting mindset. You'll collaborate directly with customers, translate business challenges into technical architectures, and help shape AI solutions that balance innovation with reliability and operational excellence.
The ideal candidate enjoys working at the intersection of software engineering, generative AI, cloud infrastructure, and enterprise consulting while helping organizations successfully adopt AI in real-world production environments.
Role & Responsibilities
Full Stack Product Development
- Design, build, and maintain modern full stack applications serving enterprise AI use cases.
- Develop scalable frontend experiences and backend APIs supporting AI-powered workflows.
- Build reusable application architecture capable of supporting multiple enterprise customers and evolving product requirements.
- Deliver production-quality software with strong emphasis on maintainability, testing, and performance.
- Collaborate across product, engineering, and AI teams to rapidly iterate on customer-facing features.
AI Engineering & Agentic Applications
- Design and implement AI-powered applications leveraging modern foundation models and agentic workflows.
- Build intelligent assistants capable of automating complex operational processes across enterprise environments.
- Develop retrieval pipelines, workflow orchestration, prompt engineering strategies, and structured AI interactions.
- Integrate multiple LLM providers while optimizing performance, cost, and reliability for production deployments.
- Contribute to the evolution of internal AI platforms and reusable AI components.
Data Platforms & AI Foundations
- Help design data pipelines that ingest, sanitize, structure, and prepare enterprise data for AI applications.
- Build scalable data architectures supporting retrieval systems, analytics, model inference, and AI-driven automation.
- Collaborate on creating proprietary datasets that improve domain-specific AI performance.
- Contribute to data governance, quality, and observability initiatives across customer environments.
- Help mature internal AI data foundations into scalable product capabilities.
Cloud Infrastructure & AI Deployment
- Build cloud-native solutions primarily using AWS services.
- Deploy AI applications using managed AI infrastructure while contributing to initiatives involving private model hosting and enterprise inference platforms.
- Work with services such as Amazon Bedrock and modern cloud-native AI infrastructure to support production AI workloads.
- Design secure, scalable architectures capable of serving enterprise customers with high availability and operational resilience.
- Improve monitoring, deployment automation, infrastructure reliability, and system observability.
Enterprise Consulting & Customer Solutions
- Partner directly with enterprise customers to understand operational challenges and technical requirements.
- Translate business problems into scalable AI architectures and product solutions.
- Participate in technical discussions, solution design, demonstrations, and customer workshops.
- Help customers identify high-impact AI opportunities while balancing technical feasibility and business value.
- Act as a trusted technical advisor throughout implementation and long-term customer success.
Engineering Excellence
- Build software with a strong focus on quality, stability, and long-term maintainability.
- Leverage AI-assisted engineering workflows to accelerate software development while maintaining high engineering standards.
- Contribute to architecture decisions, code reviews, documentation, and engineering best practices.
- Continuously evaluate emerging AI technologies and recommend practical adoption strategies.
- Support rapid experimentation while ensuring production-grade reliability.
What We're Looking For
Must-Haves
- Strong professional experience building modern full stack applications using JavaScript and TypeScript.
- Experience building scalable backend systems and modern web applications.
- Strong experience with AWS cloud services and cloud-native application architecture.
- Hands-on experience building production AI applications using modern LLM providers such as OpenAI, Anthropic, Grok, or similar.
- Experience integrating AI capabilities into customer-facing software products.
- Solid understanding of prompt engineering, RAG architectures, AI orchestration, or agentic application design.
- Experience designing REST APIs, distributed backend services, and scalable application architecture.
- Strong communication skills with the ability to interact directly with enterprise customers.
- Consulting mindset with the ability to understand business problems and translate them into technical solutions.
- Passion for building high-quality software emphasizing reliability, speed, and operational excellence.
- Comfortable working in fast-paced startup environments with significant ownership.
Nice-to-Haves
- Experience deploying or hosting open-source foundation models for private enterprise workloads.
- Experience with Amazon Bedrock or enterprise AI infrastructure.
- Familiarity with model training, fine-tuning, inference optimization, or LLMOps.
- Experience building agentic AI systems or autonomous workflows.
- Experience with vector databases, retrieval systems, and enterprise knowledge platforms.
- Exposure to industrial, construction, engineering, energy, or manufacturing domains.
- Experience working in AI consulting or customer-facing technical roles.
- Familiarity with modern AI engineering workflows and AI-assisted software development tools.
Location
- Remote-first environment
- Latin America preferred
Why Join?
- Build production AI systems solving real-world problems for some of the world's most complex industries.
- Work at the intersection of software engineering, enterprise AI consulting, and product development.
- Help shape the company's next generation of AI-powered enterprise platforms.
- Collaborate directly with founders, technical leadership, and enterprise customers.
- Gain exposure to modern AI infrastructure, agentic applications, cloud-native architecture, and enterprise-scale deployments.
- Receive meaningful ownership, significant technical autonomy, and eligibility for stock options with the opportunity to grow into a long-term leadership position.
Application Instructions
Please submit:
- Your résumé/CV
- GitHub, portfolio, or technical project examples
- Examples of AI-powered applications or full stack systems you have built
- Details about your experience with AWS, cloud architecture, and AI platforms
- Examples of customer-facing projects or consulting engagements where you helped translate business problems into technical solutions
- Your availability and compensation expectations
- A brief summary describing your experience building production-grade AI applications and modern cloud software.