обновлено 22 дня назад
Senior Python Developer (AI Integration)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Python Developer (AI Integration) (AI/LLM): Architecting production-grade Python applications, LLM-powered systems, RAG pipelines, APIs, and microservices with an accent on scalable AI integrations, semantic search, vector databases, and cloud deployment. Focus on designing end-to-end retrieval workflows, optimizing data and background-processing pipelines, and solving performance challenges in distributed Python services.
Location: Remote
Company
develops large-scale, production-grade intelligent systems and complex software solutions for clients.
What you will do
- Architect and develop scalable Python applications, LLM-powered systems, RESTful APIs, and microservices.
- Design end-to-end Retrieval-Augmented Generation pipelines, embedding workflows, and semantic search solutions.
- Build data-ingestion pipelines and background processing with Celery, RabbitMQ, or Kafka.
- Integrate LLM APIs and AI platforms including OpenAI, Anthropic, and Azure OpenAI.
- Design database schemas, queries, and vector database architectures for AI-powered search and retrieval.
- Containerize and orchestrate services with Docker and Kubernetes, deploy to AWS, Azure, or GCP, and optimize application performance.
Requirements
- 7+ years of software development experience, including the latest 1–2 years focused on AI/LLM-powered solutions.
- Expert-level Python skills and hands-on experience deploying LLM applications, especially RAG systems.
- Experience with Django, Flask, FastAPI, Pandas, NumPy, and Scikit-learn.
- Knowledge of vector databases, semantic search, RESTful APIs, microservices, SQL, PostgreSQL, and MySQL.
- Experience with cloud platforms, messaging queues, Docker, testing, debugging, and performance optimization.
- Intermediate English or higher; a BSc/MSc in Computer Science, Engineering, AI, or a related field.
Nice to have
- Experience designing multi-agent AI systems or working with FAISS, Milvus, Hugging Face, or open-source model fine-tuning.
- Experience with advanced MLOps, model governance, system architecture, or leading a software team.
- Experience with MongoDB or DynamoDB.
- PhD completed or in progress in a relevant field.
Culture & Benefits
- Remote work with the flexibility to work from home, the beach, or the office.
- Flexible working hours without time tracking.
- One long-term project at a time, with opportunities to work on complex solutions and current technologies.
- Indefinite employment contract; B2B collaboration is also available.
- Regular feedback, mentoring, education opportunities, knowledge-sharing sessions, and technical talks.
- Opportunities to switch roles or technologies and participate in referral programs.
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