Senior Software Engineer

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October 27

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Posh Technologies

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API • Artificial Intelligence • Banking

Posh Technologies is a company that develops AI-powered solutions for financial institutions, such as banks and credit unions. Their products include voice assistants, digital assistants, and knowledge assistants that enhance customer service by automating tasks like answering FAQs, routing calls, and providing instant information to customers and employees. Posh focuses on delivering human-like AI experiences that improve customer engagement and satisfaction while maintaining high standards of security, privacy, and compliance. Their platform, specifically designed for the banking industry, integrates seamlessly with existing systems and aims to streamline operations and reduce costs by enabling 24/7 self-service capabilities.

51 - 200 employees

Founded 2018

🔌 API

🤖 Artificial Intelligence

🏦 Banking

📋 Description

• Optimize critical backend systems, including RAG pipelines (ingestion and inference) and orchestration of ML utility services. • Design and implement new features and quality improvements across our cross-product RAG API — including tools, disambiguation, and dynamic reasoning model use. • Improve application reliability and scalability while solving complex technical challenges. • Add monitoring, alerting, and anomaly detection to enhance operational responsiveness. • Write clean, maintainable, and testable code that’s easy to understand and ready for change. • Maintain, extend, and refactor existing systems and legacy codebases. • Collaborate with engineering peers, product managers, and designers to deliver world-class solutions. • Mentor other engineers and foster a culture of technical excellence and continuous learning. • Define and promote software engineering best practices, including testing, code reviews, and architectural standards.

🎯 Requirements

• 5+ years of full-stack experience with a focus on backend systems • Proficient in TypeScript and React • 2+ years leading projects and mentoring engineers • Hands-on experience integrating LLM inference into production • Familiar with LLM latency optimization, evaluation design, and prompt tuning for UX outcomes • Skilled in designing scalable, fault-tolerant systems and anticipating implementation challenges • Strong experience with PostgreSQL or MySQL, with a focus on efficient queries and performance tuning • Excellent communication skills; thrives in ambiguity and embraces change • Writes code that is maintainable, robust, and secure • Stays ahead of emerging technologies and trends, especially in AI and software scalability.

🏖️ Benefits

• Offers Equity