inDrive

Global ride-hailing platform with fare negotiation

Senior Software Engineer - Full Stack, AI Customer Support and Safety

Full-Stack EngineeringUpdated on Nov 13

Full-timeAlmaty, KazakhstanNo salary listedHybrid

About the Job

Requirements

At least 5 years of commercial software engineering experience, including production work on both backend and frontend.
Strong Go skills, including production experience with its advanced features.
Strong Python skills for service code, including asynchronous programming, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production.
Strong TypeScript and React skills, including building and maintaining non-trivial web applications with complex forms, editors, and data visualisation.
Strong SQL skills in schema design, indexes, query optimisation, and migrations; experience with Redis or similar key-value stores.
Experience with synchronous and asynchronous service communication, including HTTP, gRPC, GraphQL, and Kafka, with a focus on reliability.
Experience with Docker, CI/CD pipelines, and working knowledge of Kubernetes.
Experience with core AWS or GCP services, including compute, storage, networking, and IAM.
Experience designing and running observability, including metrics, logging, dashboards, tracing, and tools such as Prometheus, Grafana, or OpenTelemetry.
Git workflows and code review; comfort with the Linux command line and networking basics.
Ability to explain trade-offs clearly to data scientists, product owners, and on-call engineers.
Experience using AI coding agents and fully reviewing generated changes.

Responsibilities

Design, build, and run backend services in Go and Python, owning production delivery, monitoring, and on-call support.
Build and evolve backend services for LLM-based agents, including tool calling, MCP integrations, structured output, conversation state, and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services with the team through reviews, on-call support, fixes, and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history, and safe changes.
Integrate services with the wider backend using synchronous communication (HTTP, gRPC, GraphQL) and asynchronous communication (Kafka), designed for reliability.
Build end-to-end observability, including metrics, logs, dashboards, tracing, alerting, and runbooks.
Drive technical research and design for new features, weigh trade-offs, and document decisions.
Take part in code and design reviews, help raise engineering standards, and mentor engineers.
Apply the same review standard to AI-generated changes as to human-written changes.

We are looking for a Senior Software Engineer to build and run backend services and internal web applications for our AI teams. You will write production-grade Go, Python and TypeScript, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.

Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.

5+ years of commercial software engineering, with production work on both backend and frontend. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.

About the Company

inDrive

Global ride-hailing platform with fare negotiation

inDrive operates a global mobility and urban services platform that connects passengers with independent drivers through a fare-negotiation system. Riders propose a trip price, and nearby drivers can accept, decline, or counteroffer, creating a peer-to-peer ride-hailing model. The service has expanded to intercity rides, delivery and cargo, groceries, advertising, and driver-focused fintech within its app. Unlike typical ride-hailing apps that use fixed fares, inDrive enables price negotiation and direct driver-rider interaction, and it pursues growth through a venture arm that funds ride-hailing-adjacent startups in emerging markets. This broader strategy aims to build a super-app for urban and gig-economy needs, with the goal of offering a wide range of mobility and urban services in 48 countries.

Company size: 10,001+
Company stage: Debt Financing
Total funding: $532M
Headquarters: Mountain View, CA
Founded: 2012

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