Software Engineer 2 , Machine Learning

📋 Description

• Collaborate with product managers and business stakeholders to understand business challenges and
• Research, design, and implement effective solutions using statistical modeling, machine learning
• Develop and refine machine learning models using techniques such as regression, classification
• Work closely with machine learning and applied AI engineers to develop solutions for real-world
• Design, develop, and optimize LLM-powered agent pipelines, APIs, and multi-step agent workflows.
• Build and evaluate AI agent behaviors, contributing to testing strategies and evaluation frameworks

🎯 Requirements

• Strong hands-on experience building statistical and machine learning models using traditional
• Experience with deep learning techniques, including neural networks, CNNs, and RNNs.
• Solid prompt engineering skills and practical experience applying generative AI technologies.
• Hands-on experience building and deploying AI agents using frameworks and APIs such as LangChain
• Experience designing multi-step agent workflows, orchestration patterns, and approaches for
• Practical experience with vector databases such as Pinecone or Weaviate and semantic search

🎁 Benefits

• Permanent remote and work-from-home culture.
• Opportunity to work with a cutting-edge AI and machine learning technology stack.
• AI-first approach to solving practical, real-world business and product challenges.
• High degree of ownership and trust from leadership.
• Opportunity to contribute ideas and raise concerns directly with leadership.
• Freedom to experiment, learn from failures, and continuously improve.