Xaira Therapeutics Logo

Xaira Therapeutics

Senior Software Engineer, X-Scientist

Reposted One Month Ago
In-Office
South San Francisco, CA, USA
140K-215K Annually
Mid level
In-Office
South San Francisco, CA, USA
140K-215K Annually
Mid level
Build backend systems, APIs, SDKs/CLIs, and workflow orchestration that connect generative AI models to biological tools and datasets. Develop tool-calling infrastructure and agentic interfaces, ensure observability and robust testing for long-running scientific workflows, and collaborate with scientists and platform teams to turn research workflows into production software.
The summary above was generated by AI

About Xaira Therapeutics

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.

About the Role

Xaira is pioneering an AI-native approach to discovering and developing the next generation of life-changing medicines. We are building predictive and agentic AI systems across drug discovery, and the X-Scientist team accelerates this mission by making AI-assisted science reliable, usable, and scalable across drug discovery workflows.

On the X-Scientist team, you will work at the intersection of AI, software engineering, and therapeutic discovery. You will collaborate closely with AI scientists, engineers, platform teams, and drug discovery experts to build systems that connect AI models, biological tools, datasets, and scientific workflows.

This role spans backend systems, APIs, tool-calling infrastructure, workflow orchestration, developer-facing SDKs and CLIs, and agentic interfaces that help scientists run analyses, inspect intermediate steps, and iterate on results.


What You'll Do

  • Backend systems and APIs that connect AI models to scientific tools, datasets, and analysis workflows

  • Tool-calling infrastructure, CLIs, SDKs, and workflow runners that scientists and ML researchers use day-to-day

  • Agentic interfaces where users can run analyses, inspect intermediate steps, and iterate on results

  • Observability and testing for long-running workflows that call external tools and produce scientific outputs

  • Design reliable systems for long-running, multi-step workflows with strong testing, observability, logging, and maintainability.

  • Collaborate with scientific and technical teams to turn complex research workflows into usable, extensible software.

What We're Looking For

  • Strong Python engineering fundamentals, with clean, typed, tested, maintainable code.

  • Experience building at least one of the following: a production library, CLI, API, SDK, backend service, workflow system, or developer platform.

  • Familiarity with LLM application development, agent frameworks, tool calling, MCP-style interfaces, or orchestration systems.

  • Comfort working with complex systems that combine multiple components, external calls, domain-specific logic, and evolving user needs.

  • Good instincts for abstraction, error handling, reliability, and designing software that can grow across use cases.

  • Strong communication skills and ability to work in a collaborative, multidisciplinary environment.

Nice to Have

  • Background or interest in computational biology, bioinformatics, protein design, single-cell genomics, biomedical AI, or adjacent domains.

  • Familiarity with biomedical databases or tools such as PubMed, UniProt, AlphaFold, PDB, DepMap, or related resources.

  • Curiosity about biology and scientific research; you do not need a biology background, but you should be excited to learn the domain and work closely with scientists and ML researchers.


Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $205,000 - $275,000 annually with a total cash compensation up to $235,000 - $325,000; however, the compensation offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics is an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

HQ

Xaira Therapeutics South San Francisco, California, USA Office

South San Francisco, CA, United States

Xaira Therapeutics Brisbane, California, USA Office

Brisbane, CA , United States, 94549

Similar Jobs

27 Minutes Ago
In-Office
San Jose, CA, USA
110K-234K Annually
Senior level
110K-234K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design, develop, deploy, and scale enterprise AI products, agents, automations, and intelligent workflows for the People Organization. Build multi-agent systems integrating Workday, ServiceNow, Microsoft Copilot, and other enterprise platforms through APIs and event-driven architectures. Apply HR domain expertise to employee lifecycle processes, ensure secure and responsible AI governance, and implement monitoring, testing, observability, and evaluation frameworks. Partner with business and technology leaders to prototype AI solutions and drive adoption and measurable workforce transformation.
Top Skills: Agent OrchestrationAi AgentsAi Reasoning SystemsAPIsAzureCi/CdDevOpsDockerEvent-Driven ArchitecturesKnowledge RetrievalLarge Language Models (Llms)Microsoft 365Microsoft CopilotMulti-Agent ArchitecturesPythonRetrieval-Augmented Generation (Rag)Semantic SearchServicenowTool CallingVector DatabasesWorkdayWorkflow Automation
4 Hours Ago
Remote or Hybrid
7 Locations
185K-327K Annually
Senior level
185K-327K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.
Top Skills: AWSGoKafkaKotlinTypescript
5 Hours Ago
Remote or Hybrid
United States
106K-160K Annually
Senior level
106K-160K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Manage tax compliance and advisory work, review tax returns, build client relationships, research tax matters, and mentor staff.
Top Skills: AccountingCpaTax Compliance

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account