Senior Python Software Engineer

Synthflow AI
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data Scientist (Operational Domain Intelligence)

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Senior Machine Learning Engineer (Large Systems)

Senior Machine Learning Engineer (Large Systems)

This is a fully remote role, allowing you to work from anywhere in the world.

About Synthflow

AtSynthflowwe’re building the easiest way for businesses to create AI-powered phone agents. No coding, no fuss—just smarter automation. We’re passionate about delivering the future of voice technology with lightning-fast, scalable solutions. It’s an exciting time at Synthflow: we’re early, fast-growing, and laser-focused on impact. Join us to do the best work of your career while helping businesses thrive.

About the role

We’re looking for a Senior Python Engineer to craft reliable, production-ready software for AI tools.

Your responsibilities will include:

  • Develop and maintain our backend infrastructure, focusing on scalability, performance, and reliability.

  • Implement new featuresin collaboration with our engineering team.

  • Participate in the entire software development lifecycle, including requirements analysis, design, implementation, testing, and deployment.

  • Apply Test-Driven Development (TDD) practicesto ensure robust and reliable code.

  • Engage in Pair Programmingto enhance code quality and foster team collaboration.

  • Implement and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelinesto streamline development and deployment processes.

  • Conduct code reviews, providing constructive feedback to maintain high standards of code quality and best practices.

  • Stay updated with the latest trends in software development, sharing knowledge and contributing to continuous improvement.

You have:

  • Aminimum of 5 years of experienceas a Python developer.

  • Strong experience inbuilding scalable and extensible data infrastructure.

  • Proficiency ininfrastructure containerization, DevOps & MLOps(preferably GCP or AWS).

  • Experience inbuilding and maintaining enterprise-grade APIs(e.g., with FastAPI).

  • Demonstrated experience withTDD, pair programming, and CI/CD practices.

Beyond the basics:

  • Familiarity withvoice technologieslike WebRTC and Twilio.

  • Knowledge ofAI, particularly Large Language Models (LLMs), Speech To Text and Voice Synthesis models.

  • Experience inAI-related fieldslike low-latency audio stream processing or building applications with LLMs.

  • Familiarity withAI frameworkssuch as LangChain, LlamaIndex, etc.

  • Experience withlarge-scale distributed computing and cloud infrastructure.

What we offer:

  • Autonomy at speed:High-ownership roles in a fast-moving startup.

  • Remote-first flexibility:Contribute from anywhere, on your schedule.

  • Cutting-edge technology:Work on what interests you most.

  • Career growth:Scale your impact as the company grows.

  • Rewarding package:Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.