Forward Deployed Engineer

Overview
LMI is seeking a skilled Forward Deployed Engineer in the Washington, DC region. Successful Forward Deployed Engineers demonstrate competency in integrating advanced technologies into existing business processes, building new functionality, ensuring successful software deployments, and working closely with customers. This role requires a combination of technical skills, strong communication, and the ability to quickly turn ideas into production caliber code. This role will work as part of the Sales Engineering team and engage directly with customers on-site, in a hybrid format, or remotely, as required by each customer including the potential for occasional short-term travel to customer locations across the United States.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
Providing direct support to the multiple customers, this Forward Deployed Engineer will:

• Work closely with customers to integrate the LIGER GenAI platform into their existing business processes.
• Build new functionalities and enhancements within the LIGER platform to meet specific customer needs.
• Ensure successful deployment and initial configuration of the LIGER platform, supporting customers for days post-sale before transitioning the deployment to a long-term project team.
• Engage directly with customers in various formats, including in-person, hybrid, or remote work as required by the customer.
• Conduct proof-of-concept demonstrations to showcase LIGER's capabilities and its value to potential and existing customers.
• Develop and maintain a deep understanding of the LIGER platform's capabilities and limitations to guide solution development.
• Provide technical consulting, guidance, and support throughout the integration and deployment phases.
• Rapidly build new features into or around LIGER's core platform to meet customer-specific needs and feedback. Work closely with the core product team to integrate new features into the product.
• Document and communicate customer requirements and feedback to ensure continuous improvement and alignment with customer priorities.
• Assist in troubleshooting and resolving deployment issues, providing timely and effective solutions.
• Travel occasionally to customer locations within the United States for direct engagements and support.
• Work collaboratively with internal teams including product management, engineering, and support to deliver seamless solutions to customers.

Qualifications
MINIMUM QUALIFICATIONS:

• Ability to obtain and maintain a TOP SECRET clearance. You must be a US citizen.
• Advanced proficiency in Python.
• Extensive experience with PostgreSQL.
• Hands on experience with LLMs, NLP, and related AI technologies solving real problems
• Proven experience working with the MEAN Stack and full stack development in typescript.
• Experience with Angular and developing web applications.
• Strong knowledge of containerization technologies (e.g. Docker) and CI/CD pipelines, specifically with GitLab.
• Familiarity with cloud computing deployment models, especially AWS GovCloud and/or working within a DoD or federal environment.
• Demonstrated ability to integrate software solutions with existing business processes, including the ability to interact effectively with APIs.
• Knowledge of software development lifecycle and security principles.
• Excellent communication and interpersonal skills, with the ability to interact effectively with multiple stakeholders, including senior executives from government and industry.
• Ability to manage multiple tasks in a fast-paced environment and prioritize effectively.
• Willingness and availability for occasional travel based on project requirements.

Desired Skills

• Active SECRET or TOP SECRET clearance preferred.
• Proven ability to work quickly and independently as part of a small team of engineers to deliver high-quality, tailored solutions.
• Experience in sales engineering within the federal government sector, with a deep understanding of federal customers' unique challenges and requirements.
• Expertise in developing strategic relationships with key stakeholders and fostering long-term customer partnerships.
• Ability to clearly communicate the value and benefits of technical solutions to non-technical audiences.
• Ability to provide strategic input on product enhancements and development based on market trends and customer feedback.
• Familiarity with DoD Cybersecurity requirements and vulnerability management concepts.
• Experience with continuous integration and continuous deployment (CI/CD) pipelines and utilizing tools such as GitLab.
• Familiarity with container orchestration engines such as Kubernetes (e.g., EKS, AKS, GKE, Kops, OpenShift).
• Proficiency with MCP Server and experience building MCP tools.
• Hands-on experience in containerizing applications.
• Strong background in Unix/Linux operating systems.
• High energy, enthusiasm, and the ability to effectively interact with senior executives from both government and industry.
• Experience with leadership, management, and providing issue resolution and expert guidance to teams.
• Knowledge of AWS products and capabilities, with specific experience in GovCloud environments.

Target salary range: $145, ,000

Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.