Senior Software Developer, Ai Data Engineer (Medellín)

Caseware is a leading fintech company with a integral customer base of over 500,000 users. We are expanding CasewareCloud with advanced data analytics and AI capabilities, building a modern data platform that delivers intelligent, data‐driven experiences. Senior Software Developer
- AI Data Engineer As a key member of our AI team, you will design and operate the data infrastructure that powers our AI systems. Your responsibilities will include building scalable pipelines for retrieval‐augmented generation (RAG), managing agent memory, and ensuring AI observability. You will own production‐grade AI data workflows, influence architectural direction, and collaborate with AI, platform, DevOps, and product teams to deliver reliable, measurable platform capabilities. What you will be doing Design and implement reliable, scalable data ingestion and integration pipelines for structured, semi‐structured, unstructured, and multi‐modal data, ensuring data is AI‐ready, governed, secure, and observable. Build and scale retrieval infrastructure, including vector storage, embedding pipelines, hybrid search, and graph‐based knowledge representations, while optimizing data models for retrieval quality. Develop and operate agent memory systems and pipelines for AI system signals (tracing, feedback, evaluation, and usage data) to support observability and continuous improvement. Apply data quality, validation, monitoring, and testing frameworks in production pipelines, ensuring governance, access control, lineage, and security standards are met. Monitor, troubleshoot, and optimize AI data pipelines and retrieval workflows for reliability, performance, and cost. Design and support evaluation workflows for AI systems, enabling offline testing, benchmarking, and continuous improvement of retrieval and agent performance. Lead pragmatic platform evolution by defining clear contracts between AI services and data systems to reduce coupling and improve developer experience. What you'll bring Strong software engineering fundamentals and experience with maintainable, testable systems. Production experience with distributed systems, including async workflows, failure handling, retries, and eventual consistency. Hands‐on experience building and operating data pipelines for AI systems, such as embeddings pipelines, retrieval workflows, or feedback data processing. Experience with AI‐related data infrastructure, including vector databases, search systems, or graph‐based storage. Experience with retrieval systems (RAG), hybrid search, and agent frameworks or tool‐using AI systems. Experience designing pipelines for observability data, including traces, logs, metrics, or user feedback loops. Experience operating production systems, including monitoring, incident response, and continuous improvement. Cloud experience on AWS building production systems (storage, messaging, orchestration). Experience with infrastructure‐as‐code (CDK preferred; CloudFormation or Terraform acceptable). Strong collaboration and communication skills, with the ability to mentor and raise engineering maturity. Strong English language communication and collaboration skills. The Tech Stack You'll Work With Backend & Platform: TypeScript, NestJS, Python Cloud & Infrastructure: AWS EKS, Lambda, Bedrock, AgentCore Search & Retrieval: AWS OpenSearch Serverless, AWS S3 Vectors, AWS Knowledge Bases Document & Data Processing: AWS Textract, DynamoDB, S3 AI Evaluation & Observability: LangFuse, LangSmith (or equivalent) Developer Tooling: GitHub, GitHub Actions, NxMonorepo Collaboration: Jira, Confluence, Microsoft Teams, Outlook Why this role exists We are building a platform that bridges transactional backend systems with data‐intensive distributed workflows, combining APIs, asynchronous workflows, distributed data processing, cloud primitives, and AI‐ready retrieval workflows. What success looks like (first 6–12 months) Improved reliability and operability of ingestion and async workflows. Cleaner boundaries between orchestration and data‐processing concerns. Better observability across APIs, queues, workflows, and distributed jobs. Clearer data contracts and predictable schema evolution practices. Tangible improvements in developer experience. Perks & Benefits Permanent contract with full legal benefits. Pre‐paid medical coverage. Life insurance and funeral assistance. Internet allowance. Home office stipend. Competitive compensation above market average. Fully remote work environment with excellent work‐life balance. Opportunities to work for a growing global SaaS company. A culture that promotes independence, innovation, trust, and accountability. Mentorship from experienced professionals. Training budget. 5 personal time off days per year. Sick leave coverage up to 100% of salary from day 3 to 90. Recognition awards and additional paid time off for service milestones. Vacation upgrades based on years of service. Other Information Location: Fully remote (Colombia). Contact Maira Russo, Senior Talent Acquisition Partner. Background checks will be conducted for successful candidates via Certn.co, with Identity Verification and Criminal Record Checks. Executives and Senior Managers will undergo a soft credit check. Candidates living in the Netherlands and Germany are excluded from Certn.co checks. We comply with the legal requirement for background checks and provide accommodations to all candidates. Please email ****** for any assistance needs. #J-*****-Ljbffr Postúlate en Kit Empleo: kitempleo.com.co/empleo/1b4c9p