Senior embedded engineer developing safety - critical ECU firmware for Hexagon Mining’s digital mining and vehicle - control technologies. Designing, testing, and commissioning embedded systems.
About the role
- Software Engineer applying backend expertise in Data, Retrieval, and AI Agents at BenchSci. Contributing to search and retrieval infrastructure and evolving data models in scientific research.
Responsibilities
- Utilize the Agent Development Kit (ADK) to design, develop, and deploy autonomous agents and "skills" capable of multi-step data retrieval tasks.
- Design and develop backend systems and APIs that expose bioinformatics data to power application roadmaps.
- Implement advanced search and retrieval mechanisms (RAG), to provide (LLMs) with up-to-date grounded information, tune storage technologies and create high-performance query plans.
- Design solutions and adapt existing approaches to resolve issues, contributing to web app architecture and interfaces.
- Operationalize production-grade data pipelines using processing engines like Apache Beam to move data from research to platform efficiently .
- Collaborate with other engineers to solve document extraction, enrichment, retrieval challenges, capturing and modeling scientific experiments from unstructured sources.
- Perform troubleshooting analysis and resolution for production issues in a timely manner, ensuring code is testable, self-documenting, and reliable.
- Communicate cross-cutting decisions to all potentially impacted teams.
- Work on client-facing projects involving some of the largest Pharmaceutical companies in the world
- Balance working independently on core tasks while proactively identifying when collaboration or help is needed for high-complexity architectural shifts.
Requirements
- 2+ years of experience working as a professional software developer.
- Advanced understanding of Python and experience developing robust API solutions.
- Hands-on experience or deep technical interest in the Agent Development Kit (ADK) or similar frameworks.
- Proficiency in SQL; strong understanding distributed systems, data structures, algorithms, and indexing strategies for large-scale data storage
- Experience with cloud reference architectures and developing specialized stacks on cloud services
- Demonstrated ability to apply coding patterns and follow established team processes with minimal guidance.
- Familiarity with GCP or similar cloud technologies including data engineering tools (i.e Dataflow, BigQuery, AlloyDB, Spanner, Pub/Sub, Looker... etc.)
- Strong cross-team collaboration skills with the ability to explain relevant areas of the codebase to others.
- Familiarity with Infrastructure as Code(IaC) is nice to have.
Benefits
- A great compensation package that includes BenchSci equity options
- A robust vacation policy plus an additional vacation day every year
- Company closures for 14 more days throughout the year
- Flex time for sick days, personal days, and religious holidays
- Comprehensive health and dental benefits
- Annual learning & development budget
- A one-time home office set-up budget to use upon joining BenchSci
- An annual lifestyle spending account allowance
- Generous parental leave benefits with a top-up plan or paid time off options
- The ability to save for your retirement coupled with a company match!
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