Software Engineer - Full Stack

Description

Emergence AI is building next-generation agentic AI systems that move beyond code generation to provable task completion, verification, and long-horizon autonomy. Our Platform focuses on automating complex, mission-critical data workflows, from ingestion and transformation through analysis, decisioning, and action.

We work with customers in semiconductors, life sciences, and other data-intensive industries to turn fragmented, high-stakes data into trustworthy, continuously-operating AI Agents.

We're seeking a “Software Engineer - Full Stack” to build robust, tested, and scalable systems across our platform. You'll work across backend services, frontend interfaces, and AI agent tooling , contributing to test automation, API development, and production infrastructure that powers autonomous agents for enterprise customers. This is an excellent opportunity for an early-career engineer to gain deep experience in production AI systems while working alongside senior engineers and researchers.

Requirements

• Build and maintain comprehensive test automation suites across backend APIs, frontend components, and agent workflows
• Design integration tests that validate multi-service interactions and agent orchestration patterns
• Implement end-to-end test scenarios covering data ingestion, transformation, and agent decision pipelines
• Develop automated regression testing frameworks to ensure platform reliability and reduce manual QA overhead
• Create testing infrastructure for agent evaluation, including output validation and performance benchmarking

• Build backend services and APIs using Python to support agent runtimes and data pipelines
• Develop frontend interfaces for agent monitoring, workflow visualization, and human-in-the-loop approval systems
• Implement RESTful and event-driven APIs that connect agent systems to enterprise data sources
• Write clean, maintainable code following team conventions and code review feedback

• Build tooling and utilities that accelerate agent development and debugging workflows
• Contribute to agent evaluation frameworks and observability dashboards
• Participate in agent workflow design and implementation under senior engineer mentorship
• Help instrument agent systems with logging, tracing, and performance monitoring

• Work closely with senior engineers on architectural design and production deployment
• Participate in code reviews, design discussions, and team planning sessions
• Document systems, APIs, and testing strategies to support team knowledge sharing
• Take ownership of features end-to-end with guidance from experienced team members

Technical Foundations

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• 0-3 years of professional software engineering experience
• Strong programming fundamentals in Python or similar languages (Java, Type Script, Go)
• Experience building and consuming RESTful APIs
• Understanding of relational databases, SQL, and data modeling basics
• Familiarity with version control (Git), CI/CD pipelines, and automated testing frameworks

Software Engineering Skills

• Ability to write clean, well-tested code with attention to edge cases and error handling
• Experience with test automation frameworks (pytest, Jest, Selenium, Playwright, or similar)
• Understanding of async programming concepts and concurrent systems
• Basic knowledge of frontend development (React, Type Script, HTML/CSS) or willingness to learn

Mindset & Attributes

• High curiosity and growth mindset, excited to learn new technologies and domains
• Strong problem-solving skills and ability to debug complex issues independently
• Excellent communication and collaboration skills
• Willingness to take ownership and iterate based on feedback
• Interest in AI/ML systems and agentic AI (prior experience not required)

• Academic projects or internships involving machine learning, NLP, or AI systems
• Experience with FastAPI, asyncio, or event-driven architectures
• Exposure to Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure)

Base Salary: $120,…