Top Tech Jobs & Startup Jobs

The Senior Data Engineer will design and maintain scalable data pipelines, collaborate with teams, mentor juniors, and optimize solutions for AI-driven analytics.

Looking for a Consulting Data Engineer to lead data platform evolution, design scalable solutions, and mentor engineers. Requires strong technical and leadership skills.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.

The Principal Architect will define enterprise architecture, drive architecture strategy, govern adherence to principles, collaborate with teams, and communicate complex technical concepts.

Lead AI and data science strategy and teams to design, build, and deploy ML/NLP/LLM-driven products (RAG, semantic search, embeddings). Drive evaluation, responsible AI standards, experimentation, stakeholder alignment, and measurable product and business outcomes.

Design, develop, and deploy ML, NLP, and generative-AI solutions (including LLMs and RAG) to improve search, retrieval, recommendation, and question-answering across scientific publications and datasets. Build scalable pipelines, evaluation frameworks, and production-quality Python code while collaborating with engineering, product, UX, and domain experts to measure and improve model reliability, relevance, and user impact.

Build and maintain scalable graph-based search services using Java and Spring Boot. Design GraphQL and REST APIs, integrate with databases and AWS services, ensure monitoring and reliability, mentor engineers, and collaborate with product teams to deliver advanced search and recommendation features.

Design, build, and operate China-local content data platforms and production-grade data pipelines. Implement ingestion, ETL/ELT, metadata extraction, validation, enrichment, and integrations. Ensure data quality, observability, compliance with China regulations, performance tuning, and automation while collaborating with product, engineering, and business stakeholders.

Lead and mentor a new engineering squad in Mexico for a healthcare SaaS product, focusing on technical decision-making and team effectiveness.