3 hours ago
Remote, AmericasSenior
Responsibilities
- Design and deliver scalable, production-grade AI features, applications, standalone tools, and agent intelligence and integration layers.
- Build compliant AI memory architectures and vector stores using technologies such as Pinecone and Pgvector.
- Develop data pipelines and entity-resolution logic to unify information across CRM, ERP, CPQ, and marketing platforms such as Salesforce, SAP, and BigQuery.
- Collaborate with business units and stakeholders to identify, prioritize, implement, and drive adoption of high-value AI use cases.
- Collect deployment feedback about model performance, limitations, and improvement opportunities.
- Implement continuous AI evaluation pipelines and safety guardrails for hallucinations, prompt injection, data leakage, and performance regressions.
- Optimize AI cost and latency through semantic caching, intelligent model routing, and inference optimization.
Requirements
- 5–7+ years of software engineering experience in backend development, distributed systems, asynchronous programming, API design, microservices, and database management.
- 2+ years of production AI or LLM experience building and deploying applications with LLM APIs, RAG pipelines, and agentic workflows.
- 3+ years of data engineering and ETL experience integrating enterprise systems, with knowledge of data transformation, entity resolution, schema design, and data quality.
- 3+ years of Python or equivalent backend development experience.
- 1–2+ years of vector database and AI memory experience with Pinecone, Pgvector, or equivalent technologies.
- 1–2+ years of experience with AI frameworks and orchestration tools such as LangChain or LlamaIndex.
- At least 1 year of AI evaluation and safety experience, including hallucination detection, prompt-injection mitigation, data-leakage prevention, and model safety guardrails.
- At least 1 year of AI performance optimization experience involving semantic caching, model routing, inference cost optimization, and latency reduction.
- 2+ years of cloud experience deploying and maintaining applications on AWS, Azure, or GCP.
- 2+ years of stakeholder-facing technical delivery experience collaborating with business and engineering teams.
Benefits
- Competitive USD salary.
- 100% remote work from anywhere in LATAM, with optional access to coworking spaces.
- Paid time off and national holidays according to the employee’s country regulations.
- Sick leave and an annual credit for personal perks.
- Team-building activities, tech talks, virtual coffee breaks, and after-work gatherings.
- Birthday day off during the birthday week.
- People Care support, wellness check-ins, professional growth support, and an autonomous work model.
Tech Stack
Categories
About Nortal
Nortal is a privately held IT services company that designs and delivers large-scale digital transformation for governments, healthcare organizations, and enterprises. It provides consulting, custom software development, cloud and data platforms, identity solutions, and industrial/MES and supply-chain systems, typically via end‑to‑end projects and managed services. Founded in 2000 and headquartered in Tallinn, Estonia, it operates across Europe, North America, and the Middle East.