Description

You will engineer and deploy advanced AI systems.

Responsibilities

• Design, build, and orchestrate agentic AI automation systems.
• Migrate traditional machine learning models to Generative AI, working with multimodal LLMs, SLMs, and BERT.
• Design, develop, and test APIs and data pipelines (REST, async, streaming).
• Manage embeddings at scale within vector databases (e.g., FAISS, Pinecone, AzureAISearch).
• Optimize algorithms and rigorously test AI solutions for reliability and performance.

Required Skills

• 6+ years of hands-on experience in Artificial Intelligence.
• Minimum 2 years of proven software engineering experience building production systems.
• Advanced proficiency in Microsoft Azure and/or Google Cloud Platform (GCP) for cloud-native deployment and scaling.
• Expert-level proficiency in FastAPI and modern web frameworks for high-performance, asynchronous services.
• Strong Python programming skills.
• Demonstrated expertise in building and orchestrating autonomous agents.
• Advanced data preprocessing and feature engineering skills for unstructured data.
• Experience with LLMs and SLMs.
• Familiarity with REST APIs.

Key Skills

Education

Bachelor's degree