Software Engineer - Efficiency Engineering and AI Enablement
We are seeking a Software Engineer to join our Efficiency Engineering & AI Enablement team at Millennium, a global alternative investment firm. The team improves the speed, quality, and effectiveness of the firm's Production Support and Quality Engineering organizations, focusing on engineering productivity, workflow automation, software quality, and the practical application of AI and large language model technologies. Responsibilities: Design, build, and deliver internal applications, automation, and workflow tools that improve productivity, operational consistency, visibility, and quality across Production Support and Quality Engineering. Develop AI-enabled solutions for use cases such as knowledge assistance, incident analysis and triage, issue summarization, test-case generation, defect analysis, and engineering productivity. Rapidly translate operational challenges into working prototypes, then evolve successful solutions into secure, maintainable, and scalable production applications. Integrate large language models and AI capabilities into internal workflows using APIs, open-source libraries, prompt engineering, retrieval-augmented generation, and agentic workflows. Partner with Production Support, Quality Engineering, and engineering stakeholders to identify requirements, validate solutions, incorporate feedback, and drive adoption. Build and maintain backend services, APIs, and frontend interfaces using modern application development and cloud technologies. Build, package, deploy, and support containerized applications in cloud environments. Define and track measurable outcomes, including time saved, reduced manual effort, faster testing cycles, and improved incident response. Requirements: Bachelor's degree in Computer Science or a related field. Two to five years of professional software engineering experience building applications, internal tools, automation, or engineering productivity solutions. Proficiency in modern backend languages and frameworks, such as Python with FastAPI or Java with Spring Boot, along with experience building frontend applications using React, Next.js, or Angular. Working knowledge of relational databases such as PostgreSQL. Hands-on experience with, or a strong demonstrated interest in, applying AI and LLM technologies to conversational tools, intelligent automation, summarization, or AI-assisted workflows. Familiarity with AWS or another cloud platform, Docker, and containerized application development and deployment. Ability to move quickly from idea to prototype to production while applying sound engineering judgment and maintaining quality, security, and scalability. Strong problem-solving, stakeholder partnership, and communication skills, supported by a collaborative and feedback-driven working style. Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000.