הלקוח שלנו:
A global enterprise organization building modern data, analytics, and AI solutions within a Microsoft-first ecosystem. The company focuses on scalable and secure enterprise platforms that support business intelligence and digital transformation.
המשימות שלך:
- Analyze business needs and identify opportunities where AI technologies can create measurable business value
- Translate business challenges into practical AI-driven solutions with clear business outcomes
- Rapidly prototype, validate, and evolve AI solutions from proof-of-concept to production-ready systems
- Build knowledge-driven applications, intelligent assistants, and automated AI workflows
- Design and implement retrieval-based solutions, AI-powered services, and agent-oriented architectures
- Create scalable backend services and integrations supporting AI capabilities
- Establish evaluation, monitoring, governance, and quality-control processes for AI solutions
- Prepare technical documentation, architecture diagrams, and implementation guidelines
- Collaborate with engineering, product, and quality assurance teams throughout the delivery lifecycle
- Deploy, maintain, and optimize AI workloads within Azure environments
- Monitor solution quality, performance, scalability, and operational costs
- Take ownership of technical deliverables while contributing effectively within cross-functional teams
ניסיון ומיומנויות נדרשים:
- 5+ years of experience in Software Engineering, Data Engineering, Machine Learning, or AI-related roles
- 2+ years of hands-on experience building and deploying LLM-powered applications in production environments
- Strong Python development skills with experience delivering production-grade software
- Experience working with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar technologies
- Practical experience developing intelligent agents, autonomous workflows, or agent-based AI systems
- Strong understanding of retrieval-based architectures, embeddings, vector search, and information retrieval concepts
- Experience working with vector databases and semantic search technologies such as Azure AI Search, Pinecone, Weaviate, or pgvector
- Knowledge of prompt engineering techniques and structured output generation
- Experience implementing AI evaluation, observability, monitoring, and quality-assessment processes
- Understanding of multi-agent architectures and orchestration patterns
- Hands-on experience with Azure-based AI services and application deployment
- Experience building APIs, microservices, and distributed applications
- Familiarity with CI/CD practices, Git-based workflows, and Agile delivery methodologies
- Knowledge of application security, API security, and data protection principles
- Ability to integrate AI capabilities into web-based applications and user-facing systems
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
- Excellent written and verbal communication skills in English
Would be a Plus:
- Experience with Azure AI Foundry, Azure OpenAI, Databricks, or similar enterprise AI platforms
- Experience working within regulated industries and compliance-driven environments
- Knowledge of AI governance, validation frameworks, and compliance practices
- Experience with model customization, fine-tuning, distillation, or optimization techniques
- Contributions to open-source AI, Machine Learning, or LLM-related projects
- Familiarity with React, Streamlit, or similar UI technologies
תנאי עבודה
שבוע עבודה בן 5 ימים, יום עבודה בן 8 שעות;
עבודה מרחוק.