Senior AI Software Engineer
Summary
Senior engineer who defines and evolves the architecture of Caseware's AI platform, designing and operating LLM-powered systems, agentic workflows, retrieval pipelines, and governance/evaluation frameworks on AWS, while mentoring engineers. Core stack: TypeScript/NestJS, Python, and AWS services like Bedrock, EKS, Lambda, and OpenSearch.
Contact
Maira Russo - Senior Talent Acquisition Partner
What you'll be doing:
establishing architectural standards, contracts, and design principles that enable
scalable, secure, reusable, and trustworthy AI capabilities across multiple teams.
• Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic
workflows, and AI-enabled services, including multi-agent systems, agent
execution runtimes, workflow orchestration, memory management, and human-inthe-loop AI capabilities.
• Design and implement evaluation, governance, auditability, and traceability
frameworks that ensure AI systems are measurable, explainable, compliant, and
continuously improving.
• Translate advances in AI into practical, maintainable platform capabilities that
solve real customer problems.
• Influence technical direction through architecture reviews, RFCs, design
discussions, and hands-on collaboration.
• Evaluate emerging AI technologies, models, frameworks, and cloud capabilities.
• Lead proof-of-concepts that inform platform strategy and future investments.
• Balance delivery speed, quality, maintainability, and long-term platform health
when making technical decisions.
• Drive reliability, observability, monitoring, alerting, and incident response practices
across AI systems and platforms.
• Ensure systems are resilient, scalable, cost-effective, and operationally efficient in
production environments.
• Partner closely with Product, QA, Security, Domain SMEs, and Engineering teams to
deliver business value.
• Act as a trusted technical leader, helping teams succeed through collaboration,
influence, and shared ownership.
• Mentor engineers across teams and contribute to raising overall engineering
maturity.
What you'll bring:
impact beyond a single team
• 2+ years building and operating production AI systems.
• Proven experience designing distributed, SaaS, cloud-native, multi-tenant
platforms at scale.
• Proven experience designing distributed, SaaS, cloud-native, multi-tenant
platforms at scale.
• Experience implementing AI guardrails, governance controls, and safety
mechanisms.
• Strong understanding of AI system tradeoffs including latency, cost, accuracy,
reliability, and scalability.
• Extensive experience building and operating production systems on AWS.
• Experience with Infrastructure as Code using CDK, CloudFormation, or Terraform.
• Experience mentoring engineers and influencing architectural decisions across
teams.
• Strong English language communication and collaboration skills.
• Comfortable operating in fast-moving environments with ambiguity and evolving
requirements.
Nice to Have
• Familiarity with accounting, auditing, or financial workflows.
Tech stack you’ll be working with:
• Cloud & Infrastructure: AWS EKS, AWS Lambda, AWS Bedrock, AWS AgentCore
• Search & Retrieval: AWS OpenSearch Serverless
• Document & Data Processing: AWS Textract, DynamoDB, S3
• AI Evaluation & Observability: LangFuse, LangSmith, LangChain, LangGraph
• AI-Assisted Development: GitHub Copilot, AWS Kiro
• Developer Tooling: GitHub, GitHub Actions, Nx Monorepo
• Collaboration: Jira, Confluence, Microsoft Teams, Outlook
Perks & Benefits
- ¨Contrato a termino Indefinido¨ with all the legal benefits
- Prepaid Medicine
- Life insurance and funeral assistance
- Internet allowance
- Home office stipend
- Competitive compensation — above the market average
- 100% remote work environment and an excellent work-life balance
- Opportunity to work for a growing global SaaS leader company
- A culture that promotes independence, innovation, trust, and accountability
- Open space to be creative, innovative and strategize for the future
- Mentorship by highly experienced professional
- Budget for training, we want you to grow
- 5 Personal Time Off days per year
- Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90.
- Recognition Award, additional paid time off in recognition of the corresponding year of service
- Upgrade vacation starting at 5 years of service
- AI-first environment: Be part of an AI-first engineering organization that embraces modern tools, automation, and AI-driven ways of working.
Skills
- Agentic AI
- AI
- Analytics
- Automation
- AWS
- AWS Bedrock
- CDK
- Cloud
- Cloud Native
- CloudFormation
- Confluence
- Data Analytics
- DynamoDB
- EKS
- Financial Reporting
- Fintech
- GitHub
- GitHub Actions
- Github Copilot
- Infrastructure as Code
- Jira
- Lambda
- LangChain
- LangGraph
- LangSmith
- LLM
- NestJS
- Observability
- OpenSearch
- Python
- S3
- SaaS
- Serverless
- Terraform
- TypeScript
- Workflow Orchestration
As published by lever · 2 questions
Basics
Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL URL, Other website
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- Are you legally authorized to work in Colombia for any employer?
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