Senior Software Developer, AI Data Engineer

🕒 July 10

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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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Caseware

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

☁️ SaaS

Finance • Enterprise • SaaS

Caseware is a global leader in providing software solutions for accounting, auditing, and financial reporting. Their products, such as Caseware Cloud and Caseware Working Papers, are designed to modernize accounting practices, streamline audits, and provide robust financial reporting tools for accounting firms, corporations, and government entities. Caseware is renowned for integrating advanced technologies, including AI-driven tools, to enhance efficiency and insight for its users. Their offerings are localized to meet regional standards and cater to diverse sectors, including public and private organizations. With a focus on transformation through technology, Caseware supports over 500,000 accounting professionals in more than 130 countries.

📋 Description

• Design and implement reliable, scalable data ingestion and integration pipelines for structured, semi-structured, unstructured, and multi-modal data (e.g., databases, documents, APIs, events), 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 modeling 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, including safe handling of sensitive data in AI retrieval and generation workflows. • Monitor, troubleshoot, and optimize AI data pipelines and retrieval workflows for reliability, performance, and cost, with strong observability and resilient processing patterns. • Design and support evaluation workflows for AI systems, enabling offline testing, benchmarking, and continuous improvement of retrieval and agent performance over time. • Lead pragmatic platform evolution by defining clear contracts between AI services and data systems, reducing coupling, and improving developer experience.

🎯 Requirements

• Strong software engineering fundamentals, including designing maintainable, testable systems and owning features end-to-end. • Production experience with distributed systems, including async workflows, failure modes, 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 working with AI-related data infrastructure, including vector databases, search systems, or graph-based storage. • Experience with retrieval systems (RAG), embedding pipelines, or hybrid search (vector + keyword). • Experience with agent frameworks, agent memory systems, or orchestration of tool-using AI systems. • Experience operating production systems, including monitoring, incident response, and continuous improvement. • Cloud experience on AWS building production systems, including storage, messaging, and orchestration. • Experience with infrastructure as code, with CDK preferred and CloudFormation or Terraform acceptable. • Strong collaboration and communication skills, with the ability to mentor and raise engineering maturity through reviews and design discussions. • Strong English language communication and collaboration skills.

🏖️ 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.