Generative AI Developer
1 dzień temu
Generative AI Developer
Location: Poland -Warsow/Krakow
Mode: Onsite
Duration: 6 Months contract with possible extension
Skills: AI & Gen AI - Products & Tools
Experience: 6-8 Years
- Must Have TechnicalFunctional SkillsLooking for a highly skilled Generative AI Developer with deep expertise in designing, developing, and deploying GenAI solutions on Microsoft Azure andor 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
Roles ResponsibilitiesKey Responsibilities
- Solution Architecture DesignDesign 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 multicloud or hybrid deployments.
- Define and manage MLOps pipelines for model training, deployment, and monitoring using Azure ML Pipelines or AWS SageMaker Pipelines.
- Development ImplementationDevelop 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.
- Production DeploymentDeploy 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.
- Collaboration DocumentationCollaborate with crossfunctional 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 QualificationsTechnical 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
Soft SkillsStrong analytical and problemsolving skills.Excellent communication and collaboration abilities.
- Ability to work in a fastpaced, agile environment.
- Preferred QualificationsMicrosoft Certified Azure AI Engineer Associate or Azure Solutions Architect Expert.AWS Certified Machine Learning Specialty or AWS Solutions Architect Professional.Experience with multi-modal GenAI (text, image, audio).
- Knowledge of responsible AI,
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