Product Solutions Engineer

Responsibilities

• Collaborate with product managers and engineers (PED) to define and prioritize product requirements, ensuring technical feasibility and alignment with user needs.
• Capture, document, and communicate client requirements with the core team while adhering to the agreed upon format to convey priority.
• Proactively identify and manage risks and dependencies across cross-functional teams, advocating for solutions and driving efficient execution.
• Develop, utilize, and perform effective test strategies to ensure quality and performance of implemented features.
• Document technical specifications and maintain clear communication with stakeholders throughout the development process.
• Contribute to the continuous improvement of our development processes and tools, promoting a culture of innovation and agility.
• Stay abreast of emerging technologies and industry trends, proactively suggesting opportunities for product enhancement.
• Technical Support and Troubleshooting.
• Client Training and Education on Ready Software tools.
• Work closely with engineering, product, and operations teams to optimize AI utilization, flag risks/blockers, and drive continuous improvement in workflows.

• Bachelor's degree with an emphasis on computer science, engineering, or similar technical field.
• 2-3 years experience working in an engineering role.
• Strong understanding of Agile development methodologies and experience working in cross-functional teams.
• Ability to write clean, maintainable, and efficient code in at least one relevant programming language (e.g., React, Python etc).
• Demonstrated understanding of user experience (UX) principles and practices.
• Strong analytical and data-driven approach to problem-solving.
• Basic understanding of web technologies such as HTML5, CSS3, and web APIs.
• Experience with AWS Bedrock, Python (including SQL knowledge), CI/CD (Docker, AWS), MLflow + Airflow (good to have), and Langchain or Pydantic-AI.
• Knowledge of LLM model evaluation, RAG architectures, LLM MCP servers, and LLM prompt engineering & function calls.