Zocuments ยท 2 hours ago
Principal Full Stack Engineer - AI/ML
Zocuments is seeking a Principal Full Stack Software Engineer with deep AI/ML expertise to architect, build, and scale intelligent, production-grade systems. The role requires leading the integration of AI workflows into production systems and making high-impact technical decisions while mentoring senior engineers.
SaaSSales AutomationSoftware
Responsibilities
Architect and build end-to-end AI-driven products, from data ingestion and model training to inference, APIs, and user-facing applications
Design and own scalable full-stack systems (frontend, backend, infrastructure) that serve real users at scale
Lead the integration of LLMs, ML models, and AI workflows into production systems (not demos)
Design low-latency, high-reliability model serving and inference pipelines
Work deeply with data pipelines, feature stores, vector databases, and model evaluation frameworks
Make principled tradeoffs across model performance, cost, latency, reliability, and security
Own technical direction for major initiatives and mentor senior engineers
Collaborate closely with product, design, and leadership to translate ambiguous problems into shipped solutions
Set standards for code quality, system design, observability, and operational excellence
Qualification
Required
8+ years of professional software engineering experience, with significant ownership of complex systems
Proven experience shipping AI/ML-powered features into production
Strong foundation in computer science fundamentals (data structures, algorithms, systems design)
Deep experience with modern backend systems (e.g. Python, Go, Java, or Node.js)
Strong frontend experience building real products (React, Next.js, or equivalent)
Hands-on experience with LLMs and modern ML stacks (e.g. fine-tuning, RAG, embeddings, evaluation)
Experience with distributed systems, APIs, and service-oriented architectures
Strong cloud experience (AWS, GCP, or Azure) including infra-as-code and CI/CD
Ability to operate autonomously, drive technical decisions, and lead through influence
Preferred
Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
Experience building data-intensive systems (streaming, batch processing, ETL)
Familiarity with MLOps (model versioning, monitoring, drift detection)
Experience optimizing cost and performance of large-scale AI systems
Prior experience at high-growth startups or top-tier engineering orgs
Benefits
Competitive compensation
Equity
Flexibility
Company
Zocuments
Automate the Document Creation & Delivery Process
Funding
Current Stage
Early StageCompany data provided by crunchbase