Senior Python Developer

Role Description

ROKO Labs is looking for a Senior Python Engineer with deep AI expertise to join our team working on large-scale, production-grade intelligent systems. If you love writing clean, well-tested Python code, thrive in cross-functional environments, and are excited about building real-world AI solutions — come join a team of like-minded, caring professionals.

You will be a core technical contributor on complex AI-powered projects, combining strong Python engineering fundamentals with hands-on experience in modern AI/ML technologies. You'll work closely with Product Owners, customers, engineering, and data teams to translate requirements into robust, scalable systems — and take real ownership of technical decisions.

Key Responsibilities

• Architect and develop scalable, production-grade Python applications, including LLM-powered systems, RESTful APIs, and microservices using FastAPI, Flask, or Django
• Design and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines, embedding workflows, and semantic search solutions in Python
• Build, optimize, and maintain data ingestion pipelines and background task processing using Celery, RabbitMQ, or Kafka
• Integrate and manage LLM APIs and AI platforms (e.g., OpenAI, Anthropic, Azure OpenAI) within robust Python service architectures
• Design and optimize database schemas and queries across relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases
• Design scalable vector database architectures (e.g., Pinecone, Weaviate) to support AI-driven search and retrieval features
• Containerize and orchestrate Python services using Docker and Kubernetes for reliable, repeatable cloud deployments (AWS, Azure, or GCP)
• Identify and resolve performance bottlenecks in Python applications through profiling, caching strategies, and code optimization

Qualifications

• 7+ years of software development experience, with the latest 1–2 years focused on AI/LLM-powered solutions
• Strong, expert-level Python skills — Python is the primary language for this role
• Proven hands-on experience building and deploying LLM applications, especially RAG-based systems
• Good knowledge of Python web frameworks and libraries: Django, Flask, FastAPI
• Experience with data-processing libraries: Pandas, NumPy, Scikit-learn
• Solid understanding of vector databases (e.g., Pinecone, Weaviate) and semantic search architectures
• Experience integrating LLM APIs (OpenAI, Anthropic, Azure OpenAI)
• Strong understanding of RESTful APIs, microservices, and scalable backend architecture
• Good working knowledge of cloud platforms: AWS, Azure, or GCP
• Solid experience with SQL and relational databases (PostgreSQL, MySQL)
• Experience with messaging queues (RabbitMQ, Kafka) and Docker
• Experience with NoSQL databases (MongoDB, DynamoDB) — a plus
• Strong testing, debugging, and problem-solving skills
• Strong communication skills; Intermediate English or higher
• BSc/MSc in Computer Science, Engineering, AI, or a related field

Nice to Have

• Experience with multi-agent AI system design
• Familiarity with alternative vector databases (FAISS, Milvus)
• Experience with the Hugging Face ecosystem or fine-tuning open-source models
• Hands-on experience with advanced MLOps frameworks and model governance
• Experience with system architecture or leading a software team
• PhD (completed or in progress) in a relevant field

Benefits

• Our developers work on only one project at a time, so there is no need to juggle 2 or more projects
• We work on long-term projects, allowing you to get to know the client and their needs well, as well as the team
• You will have the opportunity to work on complex solutions with the latest technologies
• Remote work means it's up to you whether you work from home, beach, or the office
• Flexible working hours mean that you can tailor your workday to your preferences, without a time-tracking system
• All our employees will right away receive a contract for an indefinite period (B2B collaboration is also an option)
• We provide regular feedback as part of our commitment to your ongoing development and success
• Job role switch opportunities if you want to try some new roles or technologies
• If you love taking courses or going to conferences, we are always open to discussing education opportunities
• Each team has its own monthly knowledge-sharing sessions combined with weekly talks and brainstorming sessions aimed at improving our current work and processes
• If you have a colleague or a friend who could be a good fit for us, we can offer you a referral fee
• Salary will be based on your experience and skills