Job Summary
We are seeking a talented and passionate GenAI Developer with strong expertise in Google Cloud Platform (GCP) and Python to design, develop, and deploy cutting-edge generative AI solutions. The ideal candidate will be instrumental in leveraging GCP's AI services to build scalable, robust, and performant GenAI applications that solve complex business problems. You will work on the full lifecycle of GenAI projects, from ideation and prototyping to deployment and optimization, contributing to the advancement of our AI capabilities.
Job Description
- Design, develop, and implement generative AI applications using Python and GCP's AI/ML services (e.g., Vertex AI, GenAI APIs, Google Kubernetes Engine, Cloud Functions, BigQuery).
- Collaborate with product managers, data scientists, and other engineers to understand requirements and translate them into technical specifications for GenAI solutions.
- Stay up-to-date with the latest advancements in generative AI, large language models (LLMs), and related technologies.
- Develop and integrate APIs and services for seamless interaction between GenAI models and existing systems.
- Participate in code reviews, contribute to architectural discussions, and promote best practices within the team.
- Document technical designs, processes, and model specifications.
Profile Description
- 4-8 years of overall experience
- GEN AI, GCP
About Company
A client of ilink Talent Solutions is a global digital engineering and data analytics firm founded in 1991, headquartered in the U.S., with a workforce of 3,500+ professionals and delivery centers across North America, India, Canada, Australia, and beyond. They specialize in cloud engineering, data platforms, AI/GenAI, and enterprise analytics, helping Fortune 1000 companies accelerate digital transformation. Known for proprietary accelerators like LeapLogic™ and strong partnerships with AWS, Databricks, and Snowflake, the company is recognized for driving innovation, large-scale modernization, and high-impact business outcomes.
