FS XSector
Specialism
Operations
& Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small and largescale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
& Summary We are seeking an experienced APA Developer specializing in autonomous agents and Large Language Models (LLMs) to join our team. The ideal candidate will help design, develop, and optimize agents that can perform complex tasks autonomously while maintaining reliability and safety
Responsibilities
Handson experience with Building and deploying autonomous agents LangChain framework for developing applications Retrieval Augmented Generation (RAG) systems Large Language Models (LLMs) and their APIs Solid understanding of safety principles and best practices Resolving Hallucinations in the outcomes Proven team handling experience Experience in customerfacing roles, with the ability to understand and translate business requirements effectively. Proven experience in collaborating with developers and technical teams. Candidate should have managed projects for 10+ team members Key Responsibilities Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks Develop and optimize RAG systems for improved information retrieval and response generation Create robust evaluation frameworks for testing agent performance and safety Implement monitoring and logging systems for agent behavior
Develop documentation and best practices for agent development Contribute to the improvement of agent architecture and capabilities
Mandatory skill sets
Technical Skills Advanced Python programming with expertise in async programming and API development Experience with vector databases and embedding models Proficiency in implementing RAG pipelines and knowledge retrieval systems Familiarity with prompt engineering and LLM optimization techniques Experience with development frameworks and tools Knowledge of modern software development practices (Git, CI/CD, testing) Experience in customerfacing roles, with the ability to understand and translate business requirements effectively. Proven experience in collaborating with developers and technical teams. Candidate should have managed projects for 10+ team members
Preferred skill sets
Multiple LLM providers (OpenAI, Anthropic, etc.) Tools for agent orchestration and workflow management Natural Language Processing (NLP) techniques Container technologies (Docker, Kubernetes) Understanding of semantic search and information retrieval concepts Knowledge of agent alignment and safety considerations
Years of experience required
812 years
Education
Qualifications
Engineering Graduate/ Management Graduate
Education
Degrees/Field of Study required Bachelor of Technology
Degrees/Field of Study preferred
Required Skills
Intelligent Automation (IA)
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Coaching and Feedback, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) {+ 41 more}
No