We help organizations move AI out of experimentation and into production — safely, reliably, and at scale. From inconsistent performance to limited transparency and challenges with integration and long-term viability, our Applied Intelligence Engine solves the risks that cause most AI initiatives to stall. Built for some of the most highly regulated industries in the world, we enable teams to deploy AI systems that are auditable, explainable, and aligned with real-world constraints. Our solutions introduce structure, visibility, and control into how AI operates, turning advanced capabilities into a dependable, production-grade infrastructure so our customers can move faster and scale with confidence. Job Overview As a Software Engineer (Forward Deployed), you'll be an integral part of our Engineering team, working with clients, senior engineers, and data scientists to facilitate the successful and efficient adoption of our solutions. Responsibilities - Serve as a primary technical point of contact for clients throughout the full implementation lifecycle, from requirements gathering to go-live - Configure and customize Lazarus products to meet client-specific requirements, ensuring seamless integration into their existing systems and workflows - Participate in the end-to-end implementation process, ensuring timely project completion and client satisfaction - Troubleshoot technical issues and collaborate with engineers to provide effective solutions during the implementation phase - Document implementation processes, best practices, and solutions for internal knowledge sharing and client reference - Work closely with cross-functional teams, including prompt-engineering, sales, support, and development, to ensure efficient and successful customer solution delivery - Provide training and technical assistance to clients, guiding them through product functionalities and usage - Work with clients and partners to develop optimal prompts for their use cases - Continuous learning regarding how LLM’s and associated tools may improve existing and new solutions Requirements - Bachelor's degree in computer science, engineering, or a related field - 1-3 years of experience in a technical role, such as technical support and software development - Knowledge of programming languages, scripting, system configuration, and designing secure and scalable systems in Python (required) and other modern languages (preferred); experience with Git - Knowledge of programming languages, scripting, and system configurations - Familiarity with cloud technologies (especially experience with GCP - preferred), APIs, and database management - Proven familiarity with LLMs and prompt engineering strategies and tactics - Problem-solving skills and a proactive attitude towards learning and troubleshooting - Excellent communication skills to effectively interact with clients and internal teams - Ability to work collaboratively in a fast-paced environment, adapting to evolving client needs and project requirements Benefits - Comprehensive benefits package, including health, dental, and vision insurance, as well as retirement savings plans - Opportunities for growth and professional development - A collaborative and supportive company culture that values diversity and inclusion - Access to cutting-edge technology and resources for research and development - Compensation (commensurate with experience): $100,000 - $120,000 (base salary) + equity Preferred Locations: AZ, CA, CO, CT, DC, FL, KS, ME, MD, MA, MN, NV, NH, NJ, NM, NY, PA, SC, TX, VA Lazarus AI is an equal opportunity employer. We are committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. We do not tolerate discrimination or harassment of any kind. This applies to every aspect of employment at Lazarus, including, but not limited to, employment, training, promotion, demotion, transfer, leaves of absence and termination.