Tech Lead Python Developer with GenAI

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Tech Lead Python Developer with GenAI 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: • Degree in computer science or a related field • Approximately 2 years of experience in similar roles • Advanced Python and SQL experience (3+ years) • Familiar with AWS, Azure, GCP cloud platforms • Experience with SQL/NoSQL databases • Deep understanding of LLMs: transformers, embeddings, tokenization, and API integrations • Proficiency in prompt engineering and orchestration tools (e.g. LangChain, LangGraph, Semantic Kernel, Crew AI) • Expertise in agentic AI design patterns • Experience in improving and/or evaluating RAG systems • Familiarity with emerging AI trends and standards • Strong Python software engineering skills with coding standards and best practices • Experience with code reviews, debugging, testing, and version control • Familiar 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 security of data applications, experience with anonymization and data masking • 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, publish, 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 • Training & learning opportunities • Constant support of dedicated consultant • Employee referral program