AI Lead Engineer

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:

AI Lead Engineer

Responsibilities

• Design and build modern software applications.

• Contribute to the architecture of high-performance solutions.

• Prepare clear, maintainable, and comprehensive project documentation.

• Participate in software deployments and collaborate with end users to diagnose and resolve issues.

• Present proposed solutions and their implementations to clients.

• Apply creative, innovative thinking throughout the project lifecycle.

• Mentor and support junior developers within the team.

Requirements:

Data Science & Machine Learning

• Degree in computer science or a related discipline.

• 6+ years of experience with Python and full SDLC processes.

• Solid understanding of statistics, linear algebra, and calculus.

• Experience with ETL processes, building data pipelines, data modeling, and working with SQL/NoSQL databases.

• Proficient with ML frameworks such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.

• Hands-on experience in NLP/NLU, including text processing, embeddings, NER, and semantic analysis.

• Practical experience training and applying neural networks for NLP, computer vision, and related tasks.

• Strong knowledge of Large Language Models, including transformers, tokenization, embeddings, and API integrations.

• Skilled in prompt engineering and orchestration tools like LangChain, LangGraph, Semantic Kernel, and Crew AI.

• Experience implementing GenAI solutions with vector databases (e.g., Pinecone, PGVector, Weaviate, FAISS, Milvus).

• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Software Development

• Strong Python engineering skills with adherence to coding best practices and standards.

• Experience with code reviews, debugging, testing, and version control workflows.

• Knowledge of CI/CD tools and automation systems (GitHub, Azure DevOps, Docker, Kubernetes).

• Experience containerizing AI solutions and deploying them in enterprise environments.

• Ability to implement logging, monitoring, and alerting mechanisms.

• Understanding of performance optimization, including asynchronous processing and multithreading.

  
  

Solution Architecture

• Approximately 2 years of experience in a similar architectural role.

• Strong analytical abilities using systems thinking and first-principles problem-solving.

• Ability to design secure, scalable, and resilient end-to-end systems.

• Expertise in API design, serverless systems, microservices, event-driven architectures, and container-based solutions.

• Familiarity with enterprise integration patterns (messaging, pub/sub, event sourcing).

• Knowledge of IAM, RBAC, secret management, and network security (VPCs, firewalls).

• Experience building web applications and systems handling large-scale datasets.

Offer:

• Private medical care

• Co-financing for the sports card and learning opportunities

• Constant support of dedicated consultant

• Employee referral program