This role blends deep technical expertise with strategic thinking to design intelligent systems that identify high-value use cases for AI and automation
Job Summary
This role blends deep technical expertise with strategic thinking to design intelligent systems that identify high-value use cases for AI and automation.
You will work hands-on with large language models and agent frameworks to deliver end-to-end autonomous decision-making solutions.
The position requires leading the full development lifecycle from concept and POC to deployment while staying current on GenAI advancements.
Matching Summary
This role blends deep technical expertise with strategic thinking to design intelligent systems that identify high-value use cases for AI and automation.
Skills & Requirements
Must-have
Python programming background
GenAI/LLM application development
Agent frameworks like LangChain or AutoGen
RAG and vector database knowledge
Enterprise system integration via APIs
Nice-to-have
JavaScript or TypeScript experience
RPA tool proficiency
Agile project management mindset
Discovery workshop leadership
Cross-functional collaboration skills
Key Requirements
7-10 years of work experience in computer programming
Four-year degree in Computer Science or related field
Demonstrated competence in agile development methodology