Senior Python Developer (AI Engineer)

Role Description

We are seeking an experienced Senior AI Engineer to lead the design and implementation of scalable, production-ready AI solutions that drive business value. This role combines architectural thinking with strong hands-on technical execution and business alignment.

• Design and implement end-to-end LLM-powered applications, with a strong focus on Retrieval-Augmented Generation (RAG) pipelines
• Build production-ready AI systems using Python and modern AI/ML frameworks
• Develop and optimize data ingestion, embedding pipelines, and semantic search workflows
• Design and implement scalable vector database architectures
• Integrate and work with selected AI platforms and APIs (e.g., OpenAI, Anthropic, Azure OpenAI)
• Deploy and maintain AI solutions in cloud environments (AWS, Azure, or GCP)
• Collaborate with product and engineering teams to translate business requirements into scalable technical solutions
• Ensure code quality, testing, monitoring, and performance optimization of AI systems in production
• Contribute to MLOps practices including CI/CD pipelines, model lifecycle management, and observability
• Document technical decisions and implementation details

Qualifications

• Master’s degree in Computer Science, Engineering, AI, or a related field
• 5+ years of experience in AI/ML engineering or backend software engineering
• Proven hands-on experience building and deploying LLM applications, especially RAG-based systems
• Strong programming skills in Python
• Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI)
• Solid understanding of vector databases (e.g., Pinecone or Weaviate) and semantic search architectures
• Experience with at least one major cloud platform (AWS, Azure, or GCP) in production environments
• Understanding of APIs, microservices, and scalable backend architecture
• Experience deploying applications to production environments
• Strong problem-solving skills and ability to work in a fast-evolving AI landscape

Requirements

• Experience contributing to AI system architecture design and technical standards
• Experience participating in AI roadmap discussions and technical planning
• Experience designing or implementing multi-agent AI systems
• Experience with alternative vector databases (e.g., FAISS, Milvus)
• Experience with Hugging Face ecosystem or fine-tuning open-source models
• Hands-on experience with advanced MLOps frameworks and model governance
• PhD (completed or in progress) in a relevant field
• Experience mentoring junior engineers or leading smaller technical initiatives

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 allow you to 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 are available if you want to try some new roles or technologies
• We are open to discussing education opportunities for courses or conferences
• 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