Senior Python Engineer

ML/AI Team

Python | GCP | Generative AI | LLMs | Cloud Run | Kubernetes | Full-Stack

About the Role

We’re looking for a Senior Python Engineer to help shape the next generation of intelligent products as part of our ML/AI team.

In this role, you’ll design and build the systems that bring machine learning and generative AI out of the lab and into the hands of real users—from scalable, cloud-native back-end services to the APIs and interfaces that make AI-powered capabilities accessible.

This is not a research-only role. You’ll own the full development lifecycle: prototyping new ideas, architecting production-grade services on Google Cloud Platform (GCP), and shipping features that customers interact with every day.

If you enjoy working at the intersection of software engineering and AI and want your code to have an immediate, visible impact, this role is for you.

What You’ll Do

Build & Ship AI-Powered Products

• Design, develop, and deploy production-grade ML/AI services end-to-end, from model integration to client-facing APIs.
• Build event-driven, real-time architectures using Cloud Functions, Cloud Run, Kubernetes, Pub/Sub, and similar GCP services.
• Integrate transformer-based models and Large Language Models (LLMs) into scalable inference pipelines, including prompt engineering, output formatting, and graceful error handling.
• Build clean, reliable, well-tested Python back-end services that power seamless full-stack experiences.

Own the Architecture

• Lead technical design sessions and whiteboarding exercises, translating product requirements into robust, scalable architectures.
• Drive projects from concept through production with minimal oversight, setting a high bar for both execution and engineering quality.
• Champion engineering best practices, including CI/CD, observability, automated testing, and Infrastructure as Code (IaC).

Collaborate & Communicate

• Partner closely with engineers, Product Owners, and Data Scientists to align priorities and deliver solutions iteratively.
• Translate complex AI concepts into clear, actionable technical plans that non-technical stakeholders can understand and support.
• Actively participate in code reviews, architecture discussions, and knowledge-sharing sessions.

What You Bring

Must-Have Qualifications

• 4–6+ years of professional back-end or full-stack software engineering experience, with a strong focus on Python.
• Proven experience designing and deploying cloud-native applications; GCP is strongly preferred, although AWS and Azure experience will also be considered.
• Hands-on experience building resilient, event-driven microservices and RESTful/gRPC APIs.
• Solid understanding of containerization with Docker, orchestration with Kubernetes, and serverless architectures.
• Strong experience applying SOLID design principles.
• Strong communication skills and the ability to thrive in cross-functional, Agile teams.
• Comfortable using AI-powered tools to accelerate software development and improve engineering productivity.

Nice-to-Have Qualifications

• Experience deploying and serving machine learning models or LLMs in production environments.
• Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), vector search, or fine-tuning workflows.
• Exposure to modern AI orchestration frameworks such as LangChain, Google ADK, or similar technologies.
• Experience with Infrastructure as Code tools, such as Terraform or Pulumi, as well as CI/CD pipelines.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Who You Are

Beyond technical expertise, these are the qualities that set our strongest engineers apart:

Relentless Learner
You pick up new technologies quickly and understand that there is rarely a one-size-fits-all solution. You have deep proficiency in at least one scripting language and a genuine drive to continuously expand your technical expertise.

Fearless Builder
You believe a working proof of concept can be more valuable than endless discussion. You know that speed and quality are not mutually exclusive—and you hold yourself accountable for both.

Full-Stack Thinker
You understand how each layer of the technology stack—from the front end and database to networking and infrastructure—works together. You naturally consider how technical decisions affect overall system performance and the end-user experience.

Architecture-Minded
Designing highly scalable, fault-tolerant services comes naturally to you. You stay current with modern architectural patterns and are willing to challenge existing approaches when a better solution is available.

Ownership-Driven
You take pride in everything you ship. Code isn’t considered done until it is well-tested, properly documented, and supported by effective monitoring. You take accountability for the quality of every release.

Team Multiplier
You believe the best outcomes come from strong collaboration. You give and welcome candid feedback, share knowledge openly, and actively contribute to making the people around you better engineers.