Full Stack Platform Engineer

As a Senior Full Stack Engineer with a backend focus, you will design and build the core services, APIs, and data flows that power Salt's AI orchestration platform. You'll work closely with product, AI/ML, and customer-facing teams to turn ambiguous, high-impact problems into reliable systems that scale across customers and use cases. You thrive in an environment where you can own complex backend domains end-to-end, move quickly with clear tradeoffs, and still care deeply about the developer and customer experience at the edges of your work.

This Role Will Be a Good Fit For You If:

• You're skilled at understanding what customers really need and turning that into experiences that both delight and scale.
• You can work autonomously: you can break down large, ambiguous problems into concrete next steps while keeping a long-term vision in mind.
• You communicate clearly in writing and in person, tailoring your message to the audience and focusing on what matters most.
• You share ownership easily and enjoy collaborating with a diverse, cross-functional team.
• You're strong at debugging, comfortable with unfamiliar tools and systems, and able to operate effectively under pressure.
• You move with purpose: you're decisive, focus on high-impact work, and maintain healthy, sustainable work habits.

You'll Know You're Succeeding In Your Job If:

• You're consistently thinking about how product teams use the features and backend services you build, and which problems they solve.
• The systems you build become reusable building blocks that multiple teams rely on, not one-off solutions.
• Teams at Salt AI can build new features quickly on top of your backend services and abstractions.
• Cross-functional teams can see when their products are working (or not) and have the tools and data they need to resolve issues quickly.

What You'll Do:

• Build and maintain robust backend services and RESTful APIs using Django and Python.
• Develop and enhance AI workflow orchestration services for life sciences applications.
• Implement microservices for AI model integration and real-time data processing pipelines.
• Develop and maintain the LangGraph-based workflow execution engine, enabling capabilities like partial execution, single-node debugging, and dynamic control flow.
• Design and optimize database schemas to handle complex scientific data and workloads.
• Optimize API performance to support real-time collaboration and data visualization.
• Implement GraphQL services for efficient data fetching and manipulation.
• Build authentication and authorization systems for secure access to scientific data.
• Develop responsive frontend interfaces using React, TypeScript, and Next.js when needed.
• Create and maintain data processing pipelines for scientific workflows.
• Collaborate with AI/ML engineers and product teams to ship features that delight customers.
• Participate in code reviews, technical design, and planning to ensure reliability and maintainability.
• Design and implement caching strategies for high-performance data access.

• 5+ years of professional experience with backend development.
• Strong experience with Django and Python in production environments.
• Strong experience with Kubernetes and container orchestration in production.
• Experience developing AI/ML workflows and orchestration systems.
• Proficiency building RESTful APIs and GraphQL services.
• Comfort working with git submodules and multi-repo setups.
• Strong understanding of SQL databases and scientific or complex data modeling.
• Experience scaling microservice architectures for data- or compute-intensive applications.
• Understanding of containerization concepts (e.g., Docker) for development and deployment.
• Experience with real-time data processing and streaming systems.
• Strong communication skills and ability to work in a fast-paced environment.
• Experience with frontend technologies (React, TypeScript) and willingness to work across the stack as needed.

Bonus Skills (Nice to Have)

• Experience with Vite.js and modern frontend frameworks.
• Familiarity with NoSQL and vector databases for AI applications.
• Background implementing authentication and authorization systems (OAuth2, JWT).
• Experience building real-time collaboration features using WebSockets or similar.
• Knowledge of model serving frameworks (e.g., TensorFlow Serving, Triton).
• Experience implementing feature flags and A/B testing systems.
• Background in life sciences or scientific computing.
• Experience with data lineage and provenance tracking.
• Knowledge of message queuing systems (Redis, RabbitMQ, Kafka).
• Experience with API rate limiting, performance optimization, and observability.

What Makes You a Great Fit

• You're passionate about building scalable, reliable backend systems that power AI applications.
• You understand or are eager to learn the unique challenges of scientific data and AI workflows.
• You take pride in writing clean, maintainable code that performs well under load.
• You design APIs that serve both internal teams and external integrations gracefully.
• You enjoy solving complex data processing and performance problems end to end.
• You care deeply about data integrity and security, especially in scientific and regulated contexts.
• You can communicate effectively with both engineers and scientific stakeholders.
• You're excited to build tools that accelerate scientific discovery and real-world impact.

• Competitive salary based on location.
• Comprehensive health care coverage (including dental and mental health) and 401(k).
• Fully remote environment, working primarily within the U.S.-based time zones.

Salt AI is founded by industry veterans in high-performance computing (HPC), artificial intelligence and life sciences. Salt AI is dedicated to providing reliable and transparent AI solutions that advance the underlying goals and purpose of life sciences teams. We've focused our collective expertise on a tech-enabled offering that realizes successful outcomes faster and more efficiently than previously imagined. Salt is building the intelligence layer for the enterprise. In a world where AI is fragmented across models, tools, and data silos, Salt unifies them through a compliance-first orchestration platform. Our OS turns regulated industries like life sciences into intelligent, adaptive systems-where autonomous AI agents operate securely, governably, and in harmony. Salt is defining how enterprises will deploy and scale AI responsibly at the foundation level., At Salt AI, we're building more than just a product-we're creating the systems that will power the future of AI development for life sciences. If you're excited about designing and operating backend services that enable breakthrough scientific discoveries, we'd love to hear from you. We're committed to building a diverse, inclusive team and encourage applications from candidates of all backgrounds and experiences.