Senior Python NLP Engineer

Contract: 12 months (Full-time, Full-remote)
Location: Europe (EU + Serbia, Albania, Bosnia, Kosovo, Montenegro, North Macedonia, Ukraine, Georgia, Moldova, Armenia, Kazakhstan, Azerbaijan, Turkey)

About the Role

We are looking for a Senior Python NLP Engineer to join our team for a long-term project (12 months). The role is fully remote and full-time, offering the opportunity to work with cutting-edge technologies in the field of Natural Language Processing.

You will be responsible for designing, implementing, and optimizing advanced NLP pipelines, working with RAG architectures, and building scalable AI-driven applications. The ideal candidate has deep expertise in Python and NLP frameworks, with proven experience in system optimization and parallelization of sequential processes.

Responsibilities

• Design, build, and optimize NLP pipelines for production use.
• Implement and fine-tune Retrieval-Augmented Generation (RAG) solutions using LangChain and vector databases (e.g., Weaviate).
• Optimize sequential processes by applying parallelization techniques.
• Develop scalable microservices with FastAPI or Flask.
• Integrate and manage relational databases (PostgreSQL with SQLAlchemy).
• Work with AWS services to deploy and scale NLP applications.
• Collaborate closely with the product and research teams to translate business needs into technical solutions.
• Ensure best practices for performance, reliability, and security in all deliverables.

Requirements

• 5+ years of professional experience with Python in production environments.
• Strong expertise in NLP (experience with advanced libraries, frameworks, and architectures).
• Proven hands-on experience with RAG, LangChain, Weaviate.
• Solid knowledge of NLP pipeline optimization and parallelization techniques.
• Experience with FastAPI or Flask, SQLAlchemy, PostgreSQL.
• Hands-on experience with AWS services (e.g., S3, Lambda, ECS, etc.).
• Strong understanding of software architecture, system design, and optimization.
• Excellent problem-solving and communication skills.
• Ability to work independently in a fully remote, distributed team.

Nice to Have

• Experience with ML model deployment and monitoring.
• Familiarity with containerization (Docker, Kubernetes).
• Knowledge of other vector databases or search engines (Pinecone, Elasticsearch, etc.).

What We Offer

• Long-term engagement: 12 months contract.
• Full-time, fully remote role.
• Opportunity to work with state-of-the-art NLP and AI technologies.
• Competitive compensation package.
• International, professional, and collaborative environment.