Agata Pieczonka

AI Data Lead   $180,000 - $200,000  | New York (Remote) | Full-Time   Deeprec.ai is proud to announce our partnership with a leading AI Compliance company. They use a modern tech stack to help companies stay on track with laws and regulations worldwide.  This remote AI Data Lead role will enable you to join A forward-thinking engineering culture that embraces AI tools as practical productivity accelerators and innovation enablers.    What You’ll Do Own the end-to-end Client & AI Data Vault, from ingestion to AI retrieval. Build and scale vector databases and RAG infrastructure in production. Prototype chunking and embedding strategies using real client data and AI coding tools. Develop parsers for complex documents including PDFs, DOCX, spreadsheets, and scans. Design data models connecting client content to regulatory concepts and gap analysis. Maintain high standards for data quality, performance, testing, and engineering practices.  Requirements Production experience with vector databases (e.g. Qdrant, Pinecone, Weaviate, pgvector), including tuning for performance and recall  Experience building chunking and embedding pipelines for complex documents  Strong SQL and data modelling skills in production systems  Experience extracting data from PDFs, DOCX, and scanned documents (incl. OCR/layout-aware parsing)  Strong Python plus at least one systems-level language  Experience with Azure (preferred) or AWS/GCP, CI/CD, and containers  Hands-on experience with RAG or hybrid retrieval systems  Effective use of AI coding assistants in development workflows  Proven track record of shipping production AI or data systems What will make you great  Experience with multi-tenant data architectures and isolation patterns  Experience with Elasticsearch, OpenSearch, or similar search engines  Background in NLP, information extraction, or document understanding  Experience with Kafka or similar messaging systems  Experience in regulated industries with strict audit and versioning requirements  Contributions to open-source retrieval, embedding, or parsing tools  What You’ll Get? Join a small, high-impact AI team where the data layer is a core product enabler, not backend plumbing Direct access to leadership with fast feedback loops and real influence on architecture AI-first culture that treats tools as productivity multipliers Competitive compensation, benefits, and flexible working Opportunity to build the core data foundation of a fast-scaling compliance intelligence platform

Senior/ Staff Frontend Software Engineer   $150,000- $230,000 Equity | Hybrid (3 days/ week in Palo Alto) | Full- Time    Deeprec.ai has partnered up with a rapid developing HealthTech AI startup to expand its Frontend Engineering Team and shape the future of healthcare.  This is an opportunity to join a mission-driven team building innovative AI products that are redefining the healthcare space. Backed by leading investors, the company is looking for engineers who are excited to make a meaningful impact while working on cutting-edge technology.  What You’ll Do Build and enhance the frontend experience of their AI SaaS platform  Write clean, scalable code using modern frontend technologies  Optimise performance, usability, and scalability  Iterate quickly based on user feedback and analytics  Contribute to code reviews and platform architecture  Requirements Bachelor’s degree in computer science, Software Engineering, or related field  Strong experience with HTML5, CSS3, JavaScript (ES6 ), React, and Vite  Experience with Tailwind, Shadcn, responsive design, accessibility, and scalable UI components  Familiar with REST and GraphQL APIs, testing frameworks including Jest and Playwright, and Agile environments  Strong problem-solving, communication, and user-focused design skills  Able to work onsite in Palo Alto 3 days per week  Nice to have  5 years of frontend engineering experience  Experience with D3.js, Chart.js, Webpack, NPM, and GitHub Actions  Familiarity with scalable APIs, microservices, and production SaaS or AI platforms   Why Join  Join a mission-driven team building a category-defining HealthTech AI product  Work alongside a high-calibre team backed by leading investors  Competitive salary, equity, and comprehensive health benefits  Flexible hybrid working and an inclusive, innovation-focused culture

AI Data Engineer-  HealthTech AI  Up to $180,000 | U.S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection.This is a remote Data Engineering role focused on building and maintaining scalable pipelines that ingest, clean, and structure large, complex healthcare datasets. What You’ll DoWork with Data Scientists and ML Engineers to define data needs for LLM and ML models.Build and maintain scalable data pipelines for large healthcare datasets.Ensure data quality through cleaning, validation, and monitoring.Design efficient data structures and schemas for model training and use.Source new data while ensuring compliance with healthcare regulations (e.g., HIPAA) RequirementsBachelor’s degree in Computer Science, Engineering, or a related field.Experience as a Data Engineer working with large-scale or big data systems such as Apache SparkStrong programming skills in Python, Scala, or Java.Experience with ETL pipelines, data warehousing, and data modelling.Familiarity with cloud platforms (AWS, GCP, or Azure) and tools like Apache Spark.Strong problem-solving skills Nice to HaveMaster’s degree in Computer Science, Engineering, Data Science, or a related field.Experience working with healthcare data and standards such as FHIR or HL7.Familiarity with machine learning concepts and LLM fine-tuning workflows.Experience using data orchestration tools such as Apache Airflow. Why Join?Help shape the future of healthcare by building AI that improves early cancer detection and saves lives.Work on high-impact, real-world AI used directly in clinical settings at scale.Competitive salary, benefits, and flexible remote/hybrid working options.Join a mission-driven, fast-growing team focused on innovation and health equity.Continuous learning with exposure to cutting-edge AI, ML, and healthcare technologies.