AI Engineer Lead

Responsibilities:

• Design and implement modern applications
• Contribute to high-performance solution architecture
• Create clear, maintainable project documentation
• Participate in software deployments and collaborate with users to resolve issues
• Present solutions and their implementations to clients
• Approach solution creation creatively within the project cycle
• Support junior developers in the team

Requirements:

• Data Science & Machine Learning
  • Degree in computer science or a related field
  • Advanced Python and SDLC experience (6+ years)
  • Familiar with AWS, Azure, or GCP cloud platforms
  • Strong foundation in statistics, linear algebra, and calculus
  • Experience with ETL, data pipelines, modeling, and working with SQL/NoSQL databases
  • Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face
  • Experience in NLP/NLU: text processing, embeddings, NER, semantic analysis
  • Hands-on work with neural networks for NLP, computer vision, etc
  • Deep understanding of LLMs: transformers, embeddings, tokenization, and API integrations
  • Proficiency in prompt engineering and orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI)
  • Experience using vector databases (Pinecone, PGVector, Weaviate, FAISS, Milvus) in Gen AI solutions
• Software Development
  • Strong Python software engineering skills with coding standards and best practices
  • Experience with code reviews, debugging, testing, and version control
  • Familiarity with CI/CD pipelines and automation tools (GitHub, Azure DevOps, Docker, Kubernetes)
  • Experience containerizing AI solutions and deploying across enterprise environments
  • Ability to integrate logging, monitoring, and alerting systems
  • Strong understanding of performance issues, experience with asynchronous processing, and multithreading
• Solution Architecture
  • Approximately 2 years of experience in similar role
  • Strong problem-solving using systems thinking and first principles
  • Ability to design scalable, resilient, and secure end-to-end systems
  • Expertise in API design, event-driven architectures, microservices, serverless, and containers
  • Familiarity with enterprise integration patterns (messaging, pub/sub, event sourcing)
  • Knowledge of IAM, RBAC, secrets management, and network security (VPCs, firewalls)
  • Experience in developing web applications and systems processing large data sets

Offer:

• Private medical care

• Co-financing for the sports card

• & learning opportunities

• Constant support of dedicated consultant

• Employee referral program