Salary
💰 $100,000 - $175,000 per year
Tech Stack
AEMAWSAzureCloudGoogle Cloud PlatformJavaScriptPythonSOAP
About the role
- Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization.
- Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes.
- On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers.
- On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform.
- Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution.
- Technical Consultation and Best Practices: Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows.
- Feedback Loop: Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams.
- Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives.
- Travel: Be willing and able to travel frequently (up to 25-35%) to client sites globally.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 4+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer.
- Strong AI knowledge including an:
- Understanding of how LLMs are trained and how inference works
- Understanding of batch learning, online learning and context windows and how to use them to improve customer value
- Understanding of the trade-offs of inference speed, learnings, model sizes and costs
- Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements
- Understanding or demonstrated experiencing using MCP to build agentic workflows
- Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives.
- Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP).
- Proficiency in at least one programming or scripting language (e.g., Python, JavaScript).
- Experience with enterprise software deployments and integrations.
- Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues.
- Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- Strong customer-centric mindset with a passion for ensuring client success.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Experience with translation management systems (TMS) or localization workflows is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Fluency in multiple languages is a plus.