AI Architect (Prototype/POCs)
AI Architect (Prototype/POCs)
Posted today
SENIORITY
Senior
About the role
- AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
- Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.Large Language Model Expertise: Hands on experience building, fine tuning, evaluating, and deploying LLMs (open source and commercial).Agentic AI & Workflow
- Orchestration: Experience building agent based systems using tools like LangGraph, CrewAI, OpenAI agents, or similar frameworks.
- Design and build prototypes, POCs, and MVPs across emerging technology initiatives
- Focus heavily on AI / GenAI solutions, including LLM-based applications
- Collaborate with stakeholders to translate ideas into working prototypes
- Hand off validated solutions to downstream engineering teams (dev, UAT, production)
- Rapidly experiment, iterate, and validate ideas in a lab-style environment
- Strong Python development experience
- Hands-on experience building LLM-based applications
- Familiarity with LangChain
- Experience generating and accelerating development using AI tools (e.g., Claude)
- Cloud experience -they are primarily in GCP/Azure so those are preferred
- Proven ability to build fast, functional prototypes
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
