AI Developer
Posted on :
08-07-2025
Employer Active
1 Vacancy
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Job Description
Line of Service
Internal Firm ServicesIndustry/Sector
Not ApplicableSpecialism
IFS - Information Technology (IT)Management Level
AssociateJob Description & 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 decision-making and driving business growth.Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms models and systems to enable intelligent decision-making and automation.
Key Responsibilities:
Design and implement RESTful APIs for authentication data access and system health checks
Develop modular services to handle model inference prompt orchestration and pipeline management
Orchestrate background or asynchronous tasks for long-running AI workloads
Integrate with leading LLM platforms (OpenAI Hugging Face etc.) and optimize calls for performance and cost
Containerize services using Docker and Docker Compose and collaborate on CI/CD pipelines
Manage and scale data stores
Define clear API contracts and data models in partnership with frontend engineers
Produce comprehensive documentation: OpenAPI/Swagger specs architecture diagrams and in-code comments
Participate in design discussions architectural reviews and peer code reviews
Qualifications:
Strong backend development skills ( Python or equivalent)
Hands-on experience with Docker Docker Compose and container orchestration
Familiarity with databases like MongoDB Redis or similar systems
Solid understanding of JWT/session-based authentication and security best practices
Proven ability to design and consume RESTful APIs
Experience integrating AI/ML services especially large language models
Excellent communication skills and ability to collaborate across teams
Nice-to-Have:
Experience with asynchronous frameworks (FastAPI asyncio)
Familiarity with AI orchestration libraries (LangChain etc.)
Background in monitoring logging and metrics systems
Prior work in microservices or cloud-native environments
Experience with Azure DevOps
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening AI Implementation C Programming Language Communication Complex Data Analysis Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Emotional Regulation Empathy GPU Programming Inclusion Intellectual Curiosity Java (Programming Language) Machine Learning Machine Learning Libraries Named Entity Recognition Natural Language Processing (NLP) Natural Language Toolkit (NLTK) 20 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Employment Type
Full-Time
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