AI Engineer freelance

Job Description & Summary

PwC Polands Digital& team is a modern software house within a large consulting company. We connect startup dynamics and innovation with endless possibilities of a preestablished PwC global network.

Join us and seize the opportunity to work on cuttingedge technologies like GenAI AI agents & copilots cloud computing chatbots data lakes and advanced machine learning algorithms all built on a foundation of modern application development across diverse frontend and backend technologies.

We are looking for:
AI Engineer (Python GenAI)

Your future role:

• Developing innovative solutions both internally and for our PwC US clients by leveraging cuttingedge machine learning and AI technologies.
• Developing intelligent assistants using the latest large language models (e.g. GPT4 Falcon 2 LLAMA 3 Mixtral) employing Retrieval Augmented Generation techniques and utilizing agent frameworks (e.g. Langraph CrewAI).
• Utilizing AI and software engineering expertise to recommend the most effective technical approaches and solution architectures for addressing business challenges.
• Participation in software deployments and working closely with PwC industry experts and users in solving ongoing issues
• Collecting preprocessing and analyzing large datasets for training AI models
• Contributing to project documentation

Apply if you have:

• 3 years of relevant professional experience;
• Professional experience in building applications using Large Language Models (LLMs) and related concepts & design patterns (e.g. RAG vector DBs embeddings prompt engineering multiagent systems)
• Familiarity with LLM frameworks (e.g. Langchain LLamaindex)
• Knowledge and experience in production grade code development in Python
• Understanding of cloud concepts and architectures with handson experience in cloud services (Azure GCP or AWS) and containerization tools (e.g. Docker Kubernetes)
• Expertise in data manipulation in Python (e.g. Pandas NumPy)
• Ability to work with large datasets and perform data cleaning transformation and manipulation
• Graduated in Economics Econometrics Quantitative Methods Computer Science Maths Physics Operational Research or a related discipline
• Proficiency in English both written and spoken
• Excellent analytical and problemsolving skills

Nice to have:

• Knowledge of frameworks and Python libraries related to GenAI agents (e.g. Langraph CrewAI Autogen Taskweave)
• Knowledge of Natural Language Processing techniques
• Knowledge of an extra programming language (e.g. C# Go Java)
• Handson development experience with .NET technology stack (C# SQL Server Azure PaaS Azure DevOps and CI/CD Pipelines)

Our recruitment process:

• After positive CV verification our Recruiter will contact you by Phone for a short screening call
• Lets get to know each other better during the recruitment interview.

With any queries please contact with job title in the subject.

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