Python Developer

The Impact You Will Have

The Sonar Code Next team is looking for a passionate Python Developer to join a fast‑paced, dynamic group at the intersection of Large Language Models (LLMs), static analysis, and programming languages. Working on cutting‑edge, AI‑driven projects, you’ll help push the boundaries of automated code quality and security.

Our mission is to harness our expertise in static analysis and large language models (LLMs) to advance AI’s ability to understand, generate, and improve code. We develop prototypes grounded in cutting‑edge research, testing innovations across the LLM development lifecycle—from data processing and model training to benchmarking. Our approach leverages techniques such as supervised fine‑tuning (SFT), direct preference optimization (DPO), reinforcement learning from human feedback (RLHF), and retrieval‑augmented generation (RAG) to enhance model performance and code quality.

As a key member of this team, you’ll directly influence AI‑driven solutions by developing and refining the tools that make these initiatives possible. In this hands‑on role, you’ll focus on implementing and optimizing methodologies that enhance code quality—ensuring that all solutions are scalable, maintainable, and ready for production.

What You Will Do Daily

• Develop and maintain Python‑based tooling and infrastructure to support AI‑driven solutions for code quality and security.
• Implement and optimize AI‑focused experiments, creating robust systems to evaluate modern techniques, including fine‑tuning, retrieval‑augmented generation (RAG), direct preference optimization (DPO), and reinforcement learning from human feedback (RLHF).
• Write scalable, production‑quality Python code to support AI workflows, dataset processing, and evaluation frameworks.
• Design and maintain benchmarking pipelines to assess LLM performance in generating clean, maintainable code.
• Process and refine datasets, ensuring they’re structured and optimized for training and evaluation.
• Develop integrations between AI systems and static analysis tools, enabling AI‑assisted insights for developers.
• Collaborate with static analysis experts and AI researchers to turn experimental ideas into practical, working solutions.
• Ensure the scalability, reliability, and maintainability of AI tooling as it transitions from experimentation to production.
• Continuously improve the development processes via workflow refinement, automation, and tooling for AI‑assisted coding.
• Work in a fast‑paced, iterative environment that bridges research‑driven innovation with real‑world software development.

The Experience You Will Need

• Proven expertise in Python development, writing clean, maintainable, and efficient code.
• Solid software engineering foundation, including algorithms, testing, CI/CD, and best practices for building scalable and reliable software.
• Deep curiosity about LLMs, static analysis, and multiple programming languages, recognizing their strengths, challenges, and nuances.
• Genuine interest in AI‑driven software development and a willingness to work on projects integrating AI with developer tools.
• Pragmatic approach to problem‑solving, balancing research‑driven innovation with building production‑ready systems.
• Self‑driven mindset, bold enough to challenge the status quo, yet humble and open to learning and feedback.
• Bonus points for hands‑on experience with LLM‑related projects, static analysis, or proficiency in additional programming languages (e.g., TypeScript, Java, C#).
• Initiative and ownership: You can take a task from concept to completion with minimal supervision.
• Curiosity and adaptability: You thrive in a fast‑moving environment, staying eager to learn new technologies and experiment with AI‑driven solutions.
• Open‑mindedness and a positive attitude: You welcome new ideas, embrace feedback, and collaborate effectively with diverse teams.
• Comfort with complexity and change: You excel at navigating uncertainty, iterating quickly, and adjusting to evolving challenges.
• Confidence to challenge and be challenged: You’re unafraid to question assumptions and engage in constructive discussions to drive the best outcomes.

Why You Will Love It Here

• Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again).
• Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains.
• We have a flexible work policy that includes 3 days in‑office and 2 days work‑from‑home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely.
• We have a growth mindset. We love learning