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GetVocal AI logoGetVocal AI

Senior AI Software Engineer

Paris, Ile-de-France, France · Hybrid

Senior$29M raised

The Role We’re building the next generation of real-time conversational AI systems. Our agents operate under real production traffic, where latency, scalability, reliability, and engineering quality are critical. We’re l…

Skills: Python, FastAPI, Asynchronous Programming, Distributed Systems, Event-Driven Architecture

GetVocal AI logo

Senior AI Software Engineer

GetVocal AI

Paris, Ile-de-France, France • Hybrid

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Senior

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  • Full-time
  • 25 days holiday, Public holidays, Private healthcare (50% coverage for employee, 100% for children), Swile, Pension contribution, ESOP/VSOP (shares)
  • Posted 4d ago
  • ~40 hrs/week

Responsibilities

Design and operate production-grade backend systems and low-latency services for a real-time conversational AI platform. Orchestrate AI agents and integrate LLM APIs while utilizing AI coding tools to accelerate development and maintain high engineering quality.

Requirements

Requires expert-level Python skills with deep experience in asyncio, FastAPI, and building high-throughput distributed systems. Candidates must be proficient in using AI-native development tools and have experience with LLM frameworks and real-time communication platforms.

Full job description

The Role

We’re building the next generation of real-time conversational AI systems.

Our agents operate under real production traffic, where latency, scalability, reliability, and engineering quality are critical. We’re looking for a Senior AI Software Engineer to design and build the production systems that allow these agents to respond intelligently and reliably in real time.

This is not an R&D or research role.

This role sits at the intersection of AI engineering, backend systems, and distributed real-time architecture.

You will take ownership of complex production systems behind our AI agents, including low-latency backend services, event-driven pipelines, agent orchestration, and the infrastructure patterns required to operate them at scale.

We also believe that modern software engineering is changing. The strongest engineers are no longer measured only by how much code they write manually, but by how effectively they can design systems, orchestrate AI coding agents, and validate AI-generated work without compromising quality.

What You’ll Do

  • Design, build, and operate production-grade backend systems powering our conversational AI platform.
  • Build low-latency, high-throughput services using Python, FastAPI, and asynchronous programming.
  • Develop real-time, event-driven systems using WebSockets, streaming technologies, queues, and parallel processing.
  • Design distributed architectures that remain reliable and responsive under significant production traffic.
  • Build and improve AI agent orchestration systems and LLM-powered applications.
  • Integrate LLM APIs, AI frameworks, communication infrastructure, and external AI providers into the platform.
  • Use technologies such as Redis and caching layers to improve latency, throughput, and system efficiency.
  • Profile production systems, identify performance bottlenecks, and optimise critical execution paths.
  • Improve system resilience, fault tolerance, observability, and production debugging capabilities.
  • Write comprehensive unit, integration, and load tests.
  • Design clean, modular, and maintainable architectures that can evolve as the product scales.
  • Work closely with AI, product, and engineering teams to translate agent capabilities into reliable production systems.
  • Use AI coding tools to accelerate development, debugging, testing, refactoring, and technical exploration.
  • Review and validate AI-generated code for architectural flaws, hallucinations, security issues, and maintainability risks.
  • Write a significant amount of production code while improving the overall engineering quality of the platform.

Expert-level Python skills and strong experience building production backend systems.

Advanced knowledge of Python asynchronous programming, including asyncio, concurrency, and multiprocessing.

Strong experience with FastAPI and API architecture.

Experience building low-latency, high-throughput, or real-time systems in production.

Strong understanding of distributed and event-driven system design.

Hands-on experience with technologies such as:

  • WebSockets
  • Streaming systems
  • Message queues
  • Redis and caching
  • Parallel processing
  • Event-driven architectures

Experience building AI agents, LLM applications, or AI orchestration platforms.

Production experience with modern AI technologies such as LangChain or equivalent frameworks, MCP, LLM APIs, and real-time communication platforms such as LiveKit or equivalent.

Strong understanding of scalable architecture, system decomposition, modularity, resilience, and fault tolerance.

Experience with observability, performance profiling, latency optimisation, load testing, and production debugging.

Strong software engineering fundamentals, including clean architecture, maintainability, and automated testing.

Comfort working with Docker, Linux, CI/CD pipelines, Kubernetes fundamentals, and at least one major cloud platform such as GCP, AWS, or Azure is a strong advantage.

AI-Native Software Engineering

You should already be using AI coding tools such as Claude Code, Codex, Cursor, Gemini CLI, or equivalent tools as part of your daily engineering workflow.

We are looking for engineers who know how to:

  • Break complex engineering problems into clear, AI-executable tasks.
  • Write precise technical specifications and prompts.
  • Orchestrate multiple AI coding agents or workflows in parallel.
  • Rapidly review, test, and validate AI-generated code.
  • Identify hallucinations, security vulnerabilities, and architectural weaknesses.
  • Refactor AI-generated code into clean and maintainable production software.
  • Use AI to accelerate debugging, testing, documentation, and refactoring—not only initial code generation.
  • Increase development output without reducing engineering quality or accountability.

Using AI tools is not a substitute for strong engineering fundamentals. You must be able to understand, challenge, and take full ownership of everything that enters production.

Comfort working closely with AI researchers, product teams, and infrastructure engineers to turn experimental capabilities into reliable production systems.

Eligibility to work in France is required.

What we offer

  • High ownership and autonomy
  • Diverse, international team across Europe
  • Exposure to cutting-edge AI, voice, and enterprise deployments
  • Fast-paced environment with strong learning curve
  • 25 days holiday + public holidays
  • Private healthcare with 50% coverage for you, and 100% coverage for your kids
  • Swile
  • Pension contribution
  • ESOP/VSOP (shares)

Related keywords

PythonFastAPIAsyncioWebSocketsRedisLangChainMCPLiveKitDockerKubernetesGCPAWSAzureLLMAI AgentsDistributed Systems

About GetVocal AI

LinkedInVisit site

AI Agents that build trust, not risk it.

Industry
Software Development
Company size
51-200 employees
Founded
2023
Headquarters
Paris
LinkedIn followers
9,381
Total funding
$29M

GetVocal helps enterprise contact centers resolve more, faster and with full control. Its platform builds a living model of how your business works, orchestrating an AI fleet across every channel that gets smarter with every conversation through the Human-AI Flywheel. The platform automates what's repeatable, enforces what's non-negotiable, and resolves what others escalate, without trading control for capability. Built on a proprietary ContextGraphOS, every interaction is grounded in your business logic, policies, and procedures. Unlike solutions that bolt on guardrails after the fact, GetVocal ensures every AI decision is traceable and governed. The platform is fully compliant with the EU AI Act, GDPR, and ISO standards, with omnichannel deployment across all voice and digital channels in 100+ languages, on-prem or in the cloud. The platform learns from every interaction, creating a Human-AI Flywheel. Quality and automation rates compound, creating AI that builds trust, not risks it. Customers including Vodafone, Movistar, Deutsche Telekom, and Glovo trust GetVocal to power their human-AI operations, with strategic partnerships with Capita, the UK's largest outsourcer, and Camunda.

Offices: Paris, FR

AI cold callingSoftwareEnterprise SoftwareArtificial Intelligence (AI)
View all jobs at GetVocal AI

About GetVocal AI

LinkedInVisit site

AI Agents that build trust, not risk it.

Industry
Software Development
Company size
51-200 employees
Founded
2023
Headquarters
Paris
LinkedIn followers
9,381
Total funding
$29M

GetVocal helps enterprise contact centers resolve more, faster and with full control. Its platform builds a living model of how your business works, orchestrating an AI fleet across every channel that gets smarter with every conversation through the Human-AI Flywheel. The platform automates what's repeatable, enforces what's non-negotiable, and resolves what others escalate, without trading control for capability. Built on a proprietary ContextGraphOS, every interaction is grounded in your business logic, policies, and procedures. Unlike solutions that bolt on guardrails after the fact, GetVocal ensures every AI decision is traceable and governed. The platform is fully compliant with the EU AI Act, GDPR, and ISO standards, with omnichannel deployment across all voice and digital channels in 100+ languages, on-prem or in the cloud. The platform learns from every interaction, creating a Human-AI Flywheel. Quality and automation rates compound, creating AI that builds trust, not risks it. Customers including Vodafone, Movistar, Deutsche Telekom, and Glovo trust GetVocal to power their human-AI operations, with strategic partnerships with Capita, the UK's largest outsourcer, and Camunda.

Offices: Paris, FR

AI cold callingSoftwareEnterprise SoftwareArtificial Intelligence (AI)
View all jobs at GetVocal AI

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