Senior Full Stack Engineer

About Us:

Apprentice's Tempo Manufacturing Cloud is the industry's first agentic manufacturing platform built for a world beyond paper and legacy MES. Tempo unifies MES, LES, automation, and remote collaboration capabilities together in a modern, no-code platform with AI Agents at every step of manufacturing. AI Agents operate autonomously to amplify human efforts, optimize processes, and scale throughput while reducing costs. Apprentice technology drives innovation at every stage-from design and creation to simulation, execution, and optimization.  For over a decade, we've helped life sciences companies integrate their people, processes, and systems into a single next-gen platform. Today, Apprentice serves all manufacturing sectors, fulfilling the vision of what a digital “Apprentice" can be.  For more information, visit www.apprentice.io

Position Overview:

We're seeking a Senior Full Stack Engineer with a strong backend orientation to help us build intelligent, scalable applications powered by generative AI. This role is ideal for someone who thrives in fast-paced environments, has a bias toward action, and combines deep backend expertise with a solid understanding of modern frontend frameworks. You'll be a key contributor in architecting AI-driven features and shipping end-to-end solutions that drive real impact.

You’ll work cross-functionally with product, AI/ML, and design teams—translating complex logic and LLM interactions into secure, reliable, and high-performance applications. You should be comfortable making architectural decisions, mentoring others, and jumping into the frontend when needed.

Key Responsibilities:

• Design, implement, and maintain robust full-stack systems with a focus on backend services, data pipelines, and horizontal scalability
• Implement and optimize APIs (REST/GraphQL), database models, and microservices with a strong focus on performance, scalability, and security
• Build and maintain infrastructure-as-code and CI/CD pipelines using Docker, Nx, and cloud-native services (preferably AWS)
• Design backend systems with a clear understanding of data consistency, replication, and partitioning strategies in NoSQL environments
• Collaborate with other engineers to integrate LLM-powered features, embeddings, and RAG pipelines into production systems
• Collaborate on frontend efforts in Angular or React, ensuring seamless integration with backend systems
• Perform code reviews and participate in architecture discussions
• Proactively identify bottlenecks and improve resiliency, observability, and scaling strategies
• Stay current with emerging AI tools, frameworks, and cloud technologies to keep our platform ahead of the curve

Requirements:

• 5+ years of experience in full stack development, with a strong emphasis on distributed backend systems
• Experience in a startup or high-growth environment where speed and adaptability matter
• Expert-level knowledge in:
• Node.js with Express and/or NestJS
• TypeScript across both frontend and backend
• Angular (or React)
• MongoDB (plus other NoSQL/SQL databases)
• Experience building and consuming RESTful and GraphQL APIs
• Familiarity with distributed system patterns, including:
• Database replication and failover
• Event-driven architecture (e.g., message queues, pub/sub)
• Forwards/Backwards Compatibility, feature flagging, and zero-downtime rollouts using patterns like blue-green deployments, canary releases, and schema versioning to safely evolve APIs and services without interrupting users.
• Proven experience integrating LLMs or GenAI systems (e.g., OpenAI, LangChain, AWS Bedrock, vector DBs, embeddings, etc.)
• Proficiency with Git, monorepos (especially Nx), and structured workflows (PR reviews, trunk-based dev, etc.)
• Strong practical understanding of cloud-native development:
• Containers (Docker, Docker Compose)
• CI/CD pipelines
• Hands-on cloud experience (AWS preferred): IAM, ECS/EKS, API Gateway, S3, Lambda, Bedrock, etc.
• Strong fundamentals in application architecture, security, and performance optimization

• Deep understanding of eventual consistency, CAP theorem, and multi-region system design
• Familiarity with ECS/EKS
• Experience with vector databases (e.g., Pinecone, Weaviate, Qdrant, etc.)
• Knowledge of observability tooling: structured logging, tracing, metrics (e.g., Datadog, OpenTelemetry)
• Experience with auth systems (OAuth2, Auth0, etc.)
• Prior work on RAG (Retrieval-Augmented Generation) systems or LLM-enabled products
• Knowledge of advanced patterns in frontend state management (e.g., NgRx, Redux, etc.)

What We Offer:

• Competitive salary and performance-based bonuses.
• Equity options in a growing startup.
• Flexible work environment (remote/hybrid options).
• Health, dental, and vision benefits.
• Generous PTO and parental leave policies.

Compensation Range: $120,000 - $175,000 

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.