GenAI Platform Engineer, Applied Machine Learning
Design, develop, and maintain robust AI platforms to power generative AI use-cases. Collaborate with cross-functional teams to deploy, optimize, and monitor GenAI solutions in production environments. Build and maintain tools to streamline development and experimentation.
Description
We are seeking a talented GenAI Platform Engineer to join our team and help build the next generation of AI-powered applications. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the infrastructure and tools that power our generative AI use-cases. You will work closely with data scientists, machine learning engineers, and software engineers to bring innovative AI solutions to Enterprise.
Responsibilities:
- Platform Development: Design, develop, and maintain robust and scalable GenAI Solutions, including inference services, automated workflows and data ingestion systems.
- Infrastructure Optimization: Optimize infrastructure resources to maximize efficiency and minimize costs.
- Tool Development: Build and maintain tools for model experimentation, visualization, and monitoring.
- Collaboration: Collaborate with cross-functional teams to understand their needs and translate them into technical solutions.
- Stay Updated: Stay up-to-date with the latest advancements in AI, machine learning, and cloud technologies.
Minimum Qualifications:
- BS in computer science or related technical degree.
- 2+ years of industry experience in software engineering or machine learning engineering.
- Strong proficiency in programming languages like Java or Python.
- Familiarity with GenAI frameworks (LangChain, LlamaIndex, etc.).
- Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
Preferred Qualifications:
- Solid understanding of Data Structures and Algorithms.
- Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
- Knowledge of CI/CD pipelines and DevOps practices.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
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