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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FULL-STACK SOFTWARE ENGINEER - GENERATIVE AI - **Company:** J Harlan Group, LLC - **Location:** New York, NY, United States - **Salary:** $225,000.0 - $325,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Big Data, Cloud Computing, Code Review, Databases, Cursor, Design of User Interfaces, Python (Programming Language), Node.Js, NoSQL, AI-enabled Products, Next.js, Software Deployment, Software Engineering, SQL Databases, TypeScript, Web Applications, GitHub Copilot, ReactJS, Large Language Models, Claude Code, Generative AI, AI Coding Agents, Backend, Build Management, AI Platforms, Information Technology, Restful APIs - **Published:** October 14, 2026 - **Apply:** https://www.careerjet.com/jobad/us187cabb6254564205034adb51402752e ## About the Role The firm values engineers who are intellectually curious, creative, collaborative, and hands-on and who thrive in a collegial, fast-paced environment., The ideal candidate combines excellent software engineering fundamentals and full-stack development experience with a strong interest in Generative AI and LLM-powered software. Software Engineering * Excellent computer science and software engineering fundamentals. * Experience designing, building, testing, deploying, and supporting production-quality software. * Strong problem-solving and system-design capabilities. * Experience working across the full software development lifecycle. Full-Stack Development Strong experience building both user-facing applications and production backend services, including: * Modern web applications and UI technologies * APIs and backend services * Databases and data-intensive applications * Cloud infrastructure and production deployment Relevant experience may include technologies such as Python, JavaScript/TypeScript, React/Next.js, Node.js, REST APIs, SQL/NoSQL databases, AWS, or comparable technologies. Equivalent technology experience is welcome. Generative AI * Strong interest in Generative AI, LLMs, and AI-powered software. * Hands-on experience building LLM or Generative AI applications is highly valued, particularly experience taking AI capabilities beyond prototypes and into production. GENERATIVE AI EXPERIENCE THAT STANDS OUT Hands-on experience in one or more of the following areas is particularly attractive: * Production LLM and Generative AI applications, * AI-native software development using Claude Code, Codex, Cursor, GitHub Copilot, or similar tools * AI platform or harness engineering, including context, state, tools, permissions, orchestration, failure recovery, and monitoring Candidates are not expected to have deep experience in every one of these areas. Strong software engineers who have meaningful Generative AI experience and want to go deeper are encouraged to explore the opportunity. MINDSET & CULTURAL ALIGNMENT The firm is particularly interested in engineers who: * Are intellectually curious and enjoy experimenting with emerging technologies. * Have a strong builder mentality and remain hands-on with software development. * Enjoy solving complex technical and business problems. * Take ownership of what they build and care about delivering reliable production systems. * Communicate effectively with both technical and non-technical colleagues. * Thrive in a highly collaborative, intellectually rigorous environment. * Have a passion for Generative AI and software engineering and want to have an outsized impact through the products they build., They seek high-energy self-starters who want to join an investment management firm on the leading edge of global markets. The firm values individuals of the highest professional caliber who are leaders, problem solvers, analytical, detail-oriented, collaborative, and entrepreneurial. Successful candidates are: * Analytic and relentless in pursuit of the right answer * Strong communicators who excel at rapid synthesis * Able to demonstrate sound judgment * Able to digest complexity while maintaining an understanding of the big picture * Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry and believes these standards are foundational to its long-term success. ## Description The firm is looking for an exceptional software engineer who wants to work at the intersection of full-stack engineering and Generative AI-turning rapidly evolving AI capabilities into reliable, production-quality applications used by real people., As a Full-Stack Software Engineer - Generative AI, you will help design, build, and deploy the firm's next generation of AI-powered applications and services. Generative AI Application Development * Build and deploy production Generative AI and LLM-powered applications. * Integrate LLMs and emerging AI technologies into real-world applications and business workflows. * Build intuitive AI-enabled products that make advanced AI capabilities useful and accessible to users across the firm. * Explore emerging approaches in retrieval, agents, tool integrations, evaluation, and AI-assisted software development. Full-Stack Engineering * Develop full-stack applications, user interfaces, APIs, and backend services supporting Generative AI capabilities. * Design and implement modern web applications and interfaces that make AI tools accessible and effective. * Develop production APIs and backend services that power AI applications and integrate with internal systems. * Engineer applications for reliability, scalability, security, performance, and maintainability. Production Engineering * Own software across the full lifecycle - from design and architecture through development, testing, deployment, monitoring, and continuous improvement. * Apply rigorous software engineering practices to rapidly evolving AI technologies. * Help ensure AI applications are reliable, observable, maintainable, and ready for production use. Cross-Functional Collaboration * Collaborate with engineers, product managers, designers, researchers, and business teams to identify and build high-value AI solutions. * Translate user and business requirements into sophisticated, user-centered technical solutions. * Participate in technical discussions, code reviews, and broader engineering initiatives.