Resumo da vaga

Senior Software Engineer, Agents- Hiring Sprint

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Engineering Hiring Sprint:

  • ⚙️ Platform Engineers
  • 🗄️ Database Engineers
  • ☁️ Site Reliability Engineers
  • 🔌 Extensibility API Engineers
  • 🤖 AI Agents Engineers
  • 👤 Engineering Managers

What You’ll Do:

  • Design and implement the orchestration layer that turns natural-language intent into reliable execution.
  • Build systems for entity resolution, context assembly, connector orchestration, and evidence retrieval.
  • Develop reusable Skills that encapsulate business workflows and domain expertise.
  • Build routing systems that intelligently coordinate connectors, tools, deterministic logic, and multiple language models.

What You’ll Do:

  • Own features end-to-end, from runtime capability to user-facing experience.
  • Develop evidence-backed reasoning with citations and traceability that users can actually see and verify.
  • Build evaluation frameworks that continuously improve quality.
  • Implement permission models, freshness validation, and action policies that work transparently for end users.

What You’ll Do:

  • Build prototypes, validate ideas, and rapidly iterate with customers.
  • Write high-leverage code that enables entire product areas.
  • Collaborate closely with Product, Design, Sales Engineering, and Customer Success to turn ambitious ideas into production systems.
  • Experiment with new agent architectures while maintaining production-grade reliability.

What You’ll Need:

  • 7+ years of software engineering experience building production systems.
  • Deep understanding of distributed systems and backend architecture.
  • Experience building AI applications using LLMs, agents, RAG, MCP, or modern AI frameworks.
  • Strong software engineering fundamentals including APIs, concurrency, testing, and system design.
  • Experience building developer platforms, orchestration systems, or workflow engines.
  • Ability to rapidly prototype while maintaining production quality.
  • Strong product instincts and comfort operating in ambiguous environments.
  • Exceptional written communication skills.
  • A bias toward ownership and shipping.

Nice To Have:

  • Experience building AI agents or agent frameworks, including evaluation systems.
  • Familiarity with orchestration frameworks (LangGraph, Temporal, MCP, or similar).
  • Experience with retrieval systems, vector search, or knowledge graphs.
  • Experience building developer tools or platform infrastructure.
  • Experience with data infrastructure including Kafka, Iceberg, Postgres, Spark, or modern data warehouses.

What Success Looks Like:

  • Automatically assemble the right context and choose the correct connectors and Skills.
  • Produce evidence-backed answers with citations.
  • Enforce permissions and freshness guarantees.
  • Learn from failures through replay and evaluation.
  • Allow users to ask once and receive a trusted answer.

Location:

  • Onsite 4 days/week in San Francisco, CA

Why You'll Love Working at Airbyte:

  • Flexible PTO with a culture that encourages at least 25 days off annually
  • 16 weeks fully paid parental leave for all parents
  • Comprehensive medical, dental, and vision coverage for employees and dependents
  • 401(k) retirement plan
  • Professional development budget, conference sponsorship, and book reimbursement
  • Commuter benefits and monthly internet reimbursement
  • Breakfast and lunch in our San Francisco office
  • A collaborative, in-person culture focused on learning, growth, and impact
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FocoEngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackJava, Python, RESTSkills principais
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