Generative AI Engineer

One of our clients is looking for "GenAI Developer" for a 12+ month B2B contract in Poland.

Looking for a skilled GenAI Developer with deep expertise in designing, developing, and deploying GenAI solutions on Microsoft Azure and/or AWS. The ideal candidate will have hands-on experience in production-grade AIML systems, a strong understanding of LLM architectures, and the ability to architect scalable, secure, and cost-effective GenAI solutions across both cloud platforms.

Key Responsibilities

1. Design and architect GenAI solutions using Azure AI (Azure OpenAI, Azure ML) andor AWS AIML services (Bedrock, SageMaker, Comprehend, Lex). Implement cloud-native architectures for LLM-based applications, including multi-cloud or hybrid deployments. Define and manage MLOps pipelines for model training, deployment, and monitoring using Azure ML Pipelines or AWS SageMaker Pipelines.
2. Develop and fine-tune LLMs using frameworks like Hugging Face Transformers, LangChain, Semantic Kernel, or AWS LangChain SDK. Implement prompt engineering, retrieval-augmented generation (RAG), and vector search using Azure AI Search, Amazon Kendra, or OpenSearch. Build APIs and microservices to expose GenAI capabilities using Azure Functions, AWS Lambda, or containerized services.
3. Deploy GenAI models using Azure Kubernetes Service (AKS), Azure Container Apps, Amazon EKS, or Fargate. Monitor and optimize model performance, latency, and cost in production environments using Azure Monitor, AWS CloudWatch, and custom telemetry. Implement observability, logging, and alerting for AI workloads across both platforms
4. Collaborate with cross-functional teams including data scientists, DevOps, and product managers. Document architecture, design decisions, and operational procedures. Provide mentorship and conduct code reviews for junior developers.

Required Skills

• Strong programming skills in Python, with experience in AIML libraries (e.g., PyTorch, TensorFlow).
• Deep knowledge of Azure AI services (Azure OpenAI, Azure ML, Cognitive Services) andor AWS AIML services (Bedrock, SageMaker, Comprehend, Rekognition).
• Experience with cloud architecture, DevOps, and Infrastructure as Code (Terraform, AWS CloudFormation).
• Familiarity with LLM orchestration frameworks LangChain, Semantic Kernel, Prompt Flow.
• Experience with vector databases Azure AI Search, Amazon Open Search, Pinecone, FAISS.

Please apply if you are interested and available. :)