Software Engineer (Forward Deployed)

United Statesmid

Software EngineerSoftware Engineering

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Quick Summary

Overview

We help organizations move AI out of experimentation and into production — safely, reliably, and at scale.

Technical Tools

Software EngineerSoftware Engineering

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.

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

~1 min read

→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

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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