Senior Software Developer, AI Data Engineer
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Job Summary
As a Senior Software Developer AI Data Engineer you will play a key role in defining designing and implementing the data architecture that powers Casewares AI platform. You will lead architecting and building scalable data ingestion processing storage and retrieval systems across structured unstructured and multi-modal data sources whileestablishingdata models governance standards and platform capabilities that support vector searchandgraph-based knowledge representations. Working across AI platform and product teams you will define and evolve reference architectures data standards guardrails and best practices while implementing data quality lineage traceability metadata management freshness monitoring and alerting capabilities to ensure trusted reliable and audit-ready data products that enable AI innovation at scale acrossCasewareCloud.
In this role you will take ownership of complex production-grade AI data workflows end-to-end influence architectural direction through technical leadership and proof-of-concepts and help ensure ourDataplatform is scalable reliable and measurable. You will collaborate closely with AI platform DevOps and product teams to turn emerging AI patterns into durable platform capabilities that directlyimpactcustomers acrossCasewarescloud ecosystem.
Contact
Maira Russo- Senior Talent Acquisition Partner
What youll be doing:
- 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 whileoptimizingdata modeling for retrieval quality.
- Develop andoperateagent 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 andoptimizeAI data pipelines and retrieval workflows for reliability performance and cost with strong observability and resilient processing patterns.
- Design and supportevaluationworkflows 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.
What youll bring:
- 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.
The Tech Stack Youll Work With:
- Backend & Platform: TypeScriptNestJS Python
- Cloud & Infrastructure: AWS EKS AWS Lambda AWS Bedrock AWSAgentCore
- Search & Retrieval: AWS OpenSearch Serverless AWS S3 Vectors AWS Knowledge Bases
- Document & Data Processing: AWSTextract DynamoDB S3
- AI Evaluation & Observability:LangFuseLangSmith(or equivalent)
- AI-assisted development tools: GitHub Copilot
- Developer Tooling: GitHub GitHub ActionsNxMonorepo
- Collaboration: Jira Confluence Microsoft Teams Outlook
Why this role exists
Casewareis evolvingCasewareCloud to deliver intelligent data-driven experiencespowering analytics automation and AI/agentic capabilities on top of a modern data platform.
This role is for someone who can bridgetransactional backend systemsanddata-intensive distributed workflows.Youllwork on systems that combine:
APIs and domain services(microservices relational modeling service boundaries)
Asynchronous workflows(messaging retries idempotency replay safety)
Distributed/batch data processing(Spark-based processing and lake patterns)
Cloud platform primitives(AWS orchestration and managed services)
AI-ready retrieval workflows(embedding vector retrieval pipelines)
What success looks like (first 612 months)
Improved reliability and operability of ingestion async workflows (clearer idempotency/replay patterns fewer recurring incidents).
Cleaner boundaries between orchestration/control-plane concerns and data-processing execution concerns.
Better observability across APIs queues workflows and distributed jobs.
Clearer data contracts and more predictable schema evolution practices.
Tangible improvements in developer experience (local run testing reduced environment-only hacks).
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.
Required Experience:
Senior IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
About Company
Accounting, audit, analytics and compliance software built by seasoned accountants. Manage your audit and financial reporting more efficiently with less risk.
