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Senior Backend Engineer, Agent Infrastructure

airbyteSan FranciscoEngineering
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Salary
$196K – $235K
Job type
Full-time
Work mode
Remote
Experience
Senior · 7+ yrs
Posted
18 Sept 2026
Status
Open · checked 7d ago

About this role

Based in San Francisco, CA, this full-time Senior Backend Engineer position focuses on building AI agent infrastructure and suits an experienced backend engineer with a background in production AI systems. Airbyte seeks an individual to help develop the runtime that powers production-grade AI agents.

Role Overview

Airbyte is hiring a Senior Backend Engineer for Agent Infrastructure to work onsite four days a week in San Francisco, CA. This position centers on designing the orchestration layer, context assembly systems, and reliable execution paths that allow language models to interact securely and accurately with enterprise tools and data. The engineer will operate in an early-stage, 0-to-1 environment to shape how agentic systems function reliably in production.

Key Responsibilities

Design and implement the orchestration layer that translates natural-language intent into reliable, multi-step execution workflows.
Build systems for routing, state management, retries, failure handling, and long-running agent workflows.
Develop systems for entity resolution, context assembly, connector orchestration, and evidence retrieval.
Build reusable Skills that encapsulate business workflows and domain-specific capabilities.
Coordinate connectors, APIs, tools, deterministic logic, retrieval systems, and multiple language models.
Design systems that retrieve and assemble the right enterprise context at runtime with evidence-backed reasoning and citations.
Implement permission models, freshness validation, and action policies for production environments.
Build evaluation, replay, observability, and debugging systems to monitor agent success and failure.
Take ambiguous product ideas from prototype through production across architecture, implementation, rollout, and iteration.

Requirements

7+ years of software engineering experience building and operating production systems.
Strong backend engineering fundamentals and experience designing distributed systems.
Experience building complex systems involving APIs, asynchronous workflows, concurrency, queues, state, retries, or distributed execution.
Hands-on experience building production applications using LLMs, agents, RAG, tool calling, MCP, or similar technologies.
Experience with orchestration systems, workflow engines, developer platforms, or infrastructure products.
Strong system design skills and the ability to reason about reliability, scale, observability, and failure modes.
Ability to move quickly from prototype to production without sacrificing engineering quality.
Strong product instincts and comfort operating in ambiguous, 0-to-1 environments.
Exceptional written communication skills and a strong bias toward ownership and shipping.

Nice to Have

Experience building agent infrastructure, agent platforms, or evaluation systems.
Familiarity with orchestration technologies such as LangGraph, Temporal, MCP, or similar.
Experience with retrieval systems, vector search, search infrastructure, or knowledge graphs.
Experience building developer tools or platform infrastructure.
Experience with data infrastructure such as Kafka, Iceberg, Postgres, Spark, or modern data warehouses.
Experience working on early-stage products where you helped define architecture and technical direction.

Skills and Tools

Distributed systems and backend infrastructure
LLMs, agents, RAG, tool calling, and MCP
LangGraph, Temporal, and workflow engines
Vector search, knowledge graphs, and retrieval systems
Kafka, Iceberg, Postgres, Spark, and modern data warehouses

Salary and Benefits

Salary range of $196K – $235K with equity offers
Flexible PTO encouraging at least 25 days off annually
12-16 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 provided in the San Francisco office

About the Company

Airbyte functions as the data and action layer for AI agents, providing authenticated access to business sources. The company started as an open-source standard for data movement, has raised $181M from investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator, and is led by CEO Michel Tricot.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

LLMsRAGMCPLangGraphTemporalKafkaIcebergPostgresSparkLLMPrompt EngineeringDistributed Systems

Questions candidates ask

What is the location and work arrangement for this role?

The role is onsite four days a week in San Francisco, CA.

What is the salary and compensation structure?

The salary ranges from $196K to $235K and includes offers of equity.

How many years of experience are required?

Candidates must have 7+ years of software engineering experience building and operating production systems.

Is this an ML research or prompt engineering position?

No, this is not an ML research or prompt engineering role; it is for an experienced backend or platform engineer.

What benefits and perks are included?

Benefits include flexible PTO (at least 25 days off annually), 12-16 weeks of fully paid parental leave, medical, dental, and vision coverage, a 401(k) plan, professional development budget, commuter benefits, internet reimbursement, and daily breakfast and lunch in the San Francisco office.

Ready to apply?

The application is on the official airbyte careers page.

Apply on company site