Post - Training Research Engineer at Baseten developing tooling for efficient AI model training. Collaborating on diverse architectures and systems - level concepts to enhance performance in AI applications.
About the role
- AI Innovation Engineer at Clara, focused on rapidly shipping AI features for the leading fintech in Latin America. Join a pragmatic team for impactful work in an innovative environment.
Responsibilities
- Rapid AI Product Development: Design, build, and deploy AI-powered features and applications from 0 to 1 in production
- Integrate LLMs and AI models into existing products and workflows, handling the full stack from API integration to user-facing features
- Build intelligent automation tools that improve internal operations, customer experience, or business processes
- Create MVPs and prototypes quickly to validate ideas, then iterate based on real usage and feedback
- Own the entire lifecycle: scoping, technical design, implementation, deployment, and monitoring
- Production Engineering & Infrastructure: Build robust APIs and backend services that power AI features with proper authentication, rate limiting, and error handling
- Design and implement data pipelines that support AI applications: document processing, embedding generation, vector search
- Deploy and maintain containerized applications on AWS infrastructure (ECS, Lambda, S3, RDS)
- Implement monitoring, logging, and observability for AI features in production
- Ensure AI applications meet security, privacy, and compliance requirements for financial services
- Cross-Functional Collaboration & Innovation: Work closely with product teams, data scientists, and business stakeholders to identify high-impact AI opportunities
- Translate business problems into technical solutions, making pragmatic decisions about build vs. buy vs. API
- Share knowledge and evangelize successful patterns across engineering teams
- Balance speed with sustainability—ship fast without creating technical debt that blocks future iteration
- Contribute to the broader engineering organization by bringing innovation team learnings back to core teams
- Continuous Learning & Experimentation: Stay current with rapidly evolving AI tools, frameworks, and best practices
- Experiment with new AI capabilities and evaluate their potential for Clara's use cases
- Share findings, demos, and insights with the broader team to inspire innovation
Requirements
- Strong proficiency in Python; working knowledge of Node.js or Java
- Hands-on experience integrating LLMs into production applications (not just prompt engineering)—you've built real features with OpenAI, Anthropic, or similar APIs
- Database expertise: PostgreSQL, vector databases (Pinecone, Weaviate, Chroma, pgvector), or data modeling
- Cloud infrastructure: AWS services (ECS, S3, Lambda, RDS, API Gateway, SQS, etc.)
- API development: RESTful services, authentication, rate limiting, error handling
- Built and deployed at least 2 AI/ML features or products to production that real users interact with
- Experience with containerization (Docker) and orchestration (ECS, EKS, or similar)
- Comfortable with git workflows and CI/CD practices (GitHub Actions, GitLab CI, automated deployments)
- Experience working across the full stack: backend APIs, data processing, and basic frontend integration
- Problem-solver first, technology evangelist second—you choose the right tool for the job, not the newest one
- Comfortable with ambiguity and rapid iteration—you thrive when requirements are fuzzy and priorities shift
- Self-directed with ability to scope and execute projects independently—you can take a problem and run with it
- Bias toward action—you ship working solutions and iterate based on feedback rather than pursuing perfection
Benefits
- Competitive salary and stock options (ESOP) from day one
- Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
- Annual learning budget and internal accelerated development paths
- High-ownership environment: we move fast, learn fast, and raise the bar — together
- Smart, ambitious teammates — low ego, high impact
- Flexible vacation and hybrid work model focused on results
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Data Innovation Engineer developing and validating AI capabilities tied to governed enterprise data products at U.S. Bank. Collaborating on AI readiness efforts and supporting data product initiatives.
Research Engineer at Yooz, specializing in AI - driven document automation. Collaborating with R&D to develop innovative technologies and enhance document management solutions.
System Test & Research Engineer developing testing protocols and supporting improvements in Precision Agriculture solutions at Topcon. Collaborating with teams to ensure product quality and performance.
Senior Research Engineer developing mechanical designs for engine demonstrators at GKN Aerospace. Leading technology integration and collaborating across engineering disciplines in aeronautics.
Digital Engineer developing web applications for GKN Aerospace, transforming facilities into digitized factories. Collaborating with teams to enhance digital infrastructures and application performance.
Senior Software Engineer developing robust systems for perception and understanding in Computer Vision and Multimodal AI. Collaborating with teams to enhance product areas and build reliable workflows.
Research Engineer at Quantiphi implementing quantum - assisted hybrid algorithms for optimization and machine learning. Collaborating with teams to develop scalable industry solutions with a focus on quantum computing technologies.
Research Engineer/Specialist at GKN Aerospace working on digital engineering and simulation. Involved in research and development, technology planning, and technical documentation for aerospace innovations.
Research Engineer Intern at the Center for AI Safety working closely with researchers on AI security and ethical issues. Involved in planning experiments and contributing to impactful publications.