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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Senior AI Developer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSofia, BulgariaNo salary listed

About the Job

Requirements

  • At least 5 years of experience in software engineering, application development, or intelligent automation development.
  • At least 2 years of experience designing and delivering AI, generative AI, intelligent automation, or machine learning solutions.
  • Advanced hands-on experience with Microsoft Copilot Studio, including agents, workflows, evaluation, orchestration, integrations, skills, and topics.
  • Strong hands-on experience with Microsoft Foundry, including custom agent hosting on Foundry.
  • Strong experience with Azure OpenAI and Azure AI Search.
  • Proficient Python development skills.
  • Basic knowledge of Streamlit for building AI applications, demos, internal tools, or prototypes.
  • Strong understanding of REST APIs and hands-on experience with API development frameworks and tools such as Spring Boot, FastAPI, Express.js, or similar technologies.
  • Practical experience with Azure cloud services, including App Services, Azure Functions, Blob Storage, Key Vault, Azure SQL, storage, integration, and other Azure platform services.
  • Hands-on experience with SQL and relational databases for application development, data analysis, and troubleshooting.
  • GitHub and source control knowledge.
  • Prompt engineering skills.
  • Applied knowledge of Model Context Protocol.
  • Familiarity with LangChain and/or LangGraph.
  • Strong understanding of AI-assisted software development practices, including effective use of tools such as M365 Copilot, Cursor AI, Claude Code, and similar AI-powered engineering assistants.
  • Solid knowledge of embeddings, chunking strategies, vector search architectures, and retrieval-augmented generation implementations.
  • Experience implementing agentic workflows, orchestration patterns, multi-agent solutions, and human-in-the-loop AI workflows.
  • Experience with large language model evaluation techniques, AI quality metrics, benchmarking approaches, and solution evaluation methodologies.
  • Knowledge of AI observability, tracing, and monitoring concepts.
  • Knowledge of AI cost optimization and token consumption.
  • Ability to write clean, modular, maintainable, and well-documented code.
  • Fluent spoken and written English.

Responsibilities

  • Build, test, deploy, and support AI-based solutions using Microsoft Copilot Studio, Microsoft Foundry, Azure, and related technologies.
  • Design and implement AI agents, workflows, orchestration patterns, integrations, and human-in-the-loop solutions.
  • Develop AI-powered applications, APIs, services, prototypes, minimum viable products, and production-ready solutions.
  • Implement retrieval-augmented generation, knowledge grounding, embeddings, chunking, and vector search approaches to improve AI solution quality and relevance.
  • Build integrations with enterprise systems, Microsoft services, databases, APIs, and cloud services.
  • Develop solutions using Azure services such as App Services, Functions, Blob Storage, Key Vault, Azure SQL, and other Azure platform services.
  • Optimize prompt engineering strategies, model selection, evaluation, monitoring, observability, and continuous improvement of AI solutions.
  • Troubleshoot, debug, optimize, and maintain AI solutions across development, testing, and production environments.
  • Create reusable assets and templates, write technical documentation, and establish engineering best practices.
  • Support team members in growing AI engineering capabilities.

Desired Qualifications

  • Power Platform experience, including Power Automate.
  • Azure DevOps CI/CD experience.
  • Microsoft Graph API experience.
  • Experience with agentic frameworks such as Microsoft Agent Framework, AutoGen, CrewAI, and other modern agentic frameworks.
  • Knowledge of vector databases such as Qdrant and ChromaDB.
  • Experience with data and analytics platforms such as Databricks and Microsoft Fabric.
  • Experience with containers, Docker, and Kubernetes.
  • Experience with voice agents and conversational AI solutions, including platforms such as ElevenLabs or similar providers.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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