Full Stack AI Engineer
About the role
Full-time AI-enabled full stack engineering role at Scispot, building data integration, AI agents, and infrastructure for biotech workflow automation.
Responsibilities
- Own major product areas from first customer conversation to production. Define the problem, choose the architecture, build the interface and backend, deploy it, measure its impact, and iterate.
- Build the GLUE and API layers that move data from lab instruments, external systems, and scientific files into Scispot.
- Enable scientists to query the full journey of a sample using natural language, graph-backed data, and grounded retrieval.
- Build AI agents that can take useful actions inside lab workflows.
- Improve recommendation, search, memory, and retrieval systems across OpenSearch, vector databases, graph databases, and LLM pipelines.
- Turn instrument integrations into reusable connectors, SDKs, templates, and a self-serve connector ecosystem.
- Build polished workflows across React/TypeScript, Java Spring Boot, Python services, APIs, queues, data stores, and AWS infrastructure.
- Improve EKS infrastructure, automated tests, telemetry, incident response, and system reliability.
- Engage with scientists and lab operators to identify bottlenecks and ship practical tools.
- Turn incomplete requirements into simple, reliable software without waiting for a perfect PRD.
Qualifications
- Experience with AWS services (ECS, Lambda, RDS, S3, CloudWatch, etc.).
- Experience with Next.js.
- Experience with Spring Boot and/or FastAPI.
- Exposure to Generative AI, LLMs, RAG systems, AI agents, or AI-powered products.
- Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.
- Familiarity with compliance, governance, security, risk, or regulated industries.
- Experience working in an early-stage startup environment.
- 6+ years of experience.
Skills
About Scispot
The Best Data Infrastructure for Biotechs
Scispot is the best tech stack for biotech. It's the first-ever toolkit that lets you tailor it to your needs – no coding required. Think of it as a super combo of ELN + LIMS + Integrations + Analytics. You can set it up using a user-friendly interface (GUI) or by entering commands (CLI). It's about making your digital biotech dreams a reality. You can design your data infrastructure, automate your workflows and integrations and make your data ready for machine learning and artificial intelligence – all on one spot. Scispot even provides pre-made blueprints for major experiments, teamwork, and data management. Request a demo to see Scispot in action here: https://calendly.com/scispot/30min
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