🚀 Senior Product Engineer — Applied AI & Data
Quick Summary
Professional proficiency in Spanish and English 🔎 About the Role We’re looking for a Senior Product Engineer with strong experience in Applied AI, PostgreSQL,
About the Role
~1 min readWe’re looking for a Senior Product Engineer with strong experience in Applied AI, PostgreSQL, and full-stack product development to build production-ready AI capabilities within a mature SaaS platform.
This is a hands-on role for an engineer who can take features from backlog to production, work confidently across backend, database, and frontend layers, and apply AI where it creates real product value.
Responsibilities
~1 min read- →Build and ship LLM-powered features using model APIs, structured outputs, tool/function calling, RAG, embeddings, and retrieval.
- →Design AI solutions with security, reliability, evaluation, observability, latency, and cost in mind.
- →Develop and optimize PostgreSQL schemas, SQL queries, indexes, migrations, and data workflows.
- →Deliver end-to-end product features using Node.js, TypeScript/JavaScript, PostgreSQL, and Angular.
- →Troubleshoot production issues using logs, metrics, traces, and database execution plans.
- →Work independently from Jira ticket → development → testing → QA → production.
- →Use AI coding tools responsibly while maintaining strong engineering and code-quality standards.
Requirements
~1 min read- 5+ years of senior-level software engineering experience.
- Proven experience shipping at least one LLM/AI feature to real users.
- Strong Node.js + JavaScript/TypeScript.
- Strong PostgreSQL & SQL — query optimization, indexing, transactions, migrations, and data integrity.
- Experience with a modern frontend framework — Angular preferred; React/Vue considered.
- Experience building and operating production web applications.
- Strong understanding of APIs, authentication/authorization, background jobs, and integrations.
- Ability to work effectively in an established, complex codebase.
Nice to Have
~1 min read- RAG, embeddings, vector databases or pgvector
- AI evaluation & observability
- Agentic workflows / MCP
- Sequelize
- AWS / Google Cloud
- Multi-tenant SaaS
- Experience with financial, accounting, billing, ERP, or business-management platforms
You’ll have the opportunity to combine AI engineering + product development + data expertise to build features that reach real users—not just prototypes or experiments.
If you're a pragmatic Senior Engineer who enjoys solving complex problems and turning AI capabilities into reliable products, we’d love to hear from you.
📩 Apply or send me your profile to learn more.
Location & Eligibility
Listing Details
- Posted
- August 18, 2026
- First seen
- August 19, 2026
- Last seen
- August 23, 2026
Posting Health
- Days active
- 42
- Repost count
- 0
- Trust Level
- 40%
- Scored at
- October 1, 2026
Signal breakdown
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