What are the responsibilities and job description for the Forward Deployed Engineer | Hybrid Boulder, CO position at Technical Integrity?
Job Details
Job Description
Forward Deployed Engineer AI Platform (AI Solutions Architect / Technical Integration Lead)
Technical Integrity is thrilled to collaborate with our client on the search for a driven individual to fill the role of Forward Deployed Engineer. This role is perfect for someone eager to take the lead in a dynamic startup setting utilizing their deep technical background in client-facing solutions architecture engagements. This role will be a hybrid role based in Boulder, Colorado, with expectations of being on-site 3 /- days per week.
Company Overview
Our client is developing a comprehensive platform designed for software companies to effortlessly deploy AI-powered products. This platform empowers development teams to experiment, test, monitor, and enhance their AI features.
Why This Platform Matters
While simple interactions with ChatGPT are straightforward, building production-level software with intricate prompts and internal data is a much more complex task, particularly for teams with limited AI experience. These teams are eager to swiftly master the learning curve and return their focus to providing value to their customers.
Our platform simplifies this challenge by enabling teams to collaboratively develop and refine production-ready features with confidence and speed.
Key Responsibilities
- Customer Engagement: Serve as the primary point of contact for our customers, leading workshops, prototyping solutions, and guiding them through the implementation journey to maximize their use of the platform.
- Technical Leadership: Apply your comprehensive knowledge of the generative AI landscapeespecially regarding LLM and RAG systems testing, evaluation, and optimizationto demonstrate optimal platform utilization.
- Problem Solving: Partner closely with customers to pinpoint their challenges and address them using a combination of platform capabilities and industry best practices.
- Documentation and Knowledge Sharing: Take ownership of customer-facing documentation, ensuring it remains clear, thorough, current, and valuable. Share your expertise across both customer interactions and internal teams.
- Customer Support: Deliver top-tier technical support, troubleshooting complex issues and ensuring our customers gain maximum value from the platform.
- Product Feedback Loop: Collaborate with the product team to share real-time feedback from customer experiences, helping to drive the ongoing development of the platform.
- Scalability: Build and refine internal playbooks, account plans, and operational processes to scale your work effectively, both for yourself and future team members.
Why This Opportunity?
- Leadership Role: Be a key player in the generative AI ecosystem, working alongside top-tier companies as they transform their product offerings.
- Career Growth: Join a team that values your insights and passion, giving you the opportunity to make a real impact and grow professionally.
- A Successful Product: Our customers are thrilled with what weve built, and they continually highlight the positive difference it makes for them.
We're Interested in Speaking With You If You
- Have at least 4 years of professional experience in software engineering, data science, AI, or machine learning.
- Have a minimum of 1 year of deep professional experience in Gen AI / LLMs and RAG.
- Have a strong technical foundation in software engineering or data science, with prior experience in AI and machine learning being ideal. You should be capable of writing and debugging code, including building sample applications or troubleshooting customer issues.
- Are familiar with our tech stack: GCP, Python, TypeScript, Tailwind, React, Git, GitHub, and Docker. You dont need experience with all aspects of this stack a broad background in Full Stack environments is very interesting to us.
- Excel in communication, both written and verbal, and can explain complex technical concepts to a variety of audiences.
- Are passionate about AI and stay informed of the latest advancements in the field.
- Have a talent for creative problem-solving and enjoy finding solutions to unique customer challenges.
- Feel comfortable leading workshops and making presentations.
- Have experience in prototyping and quickly developing software solutions for customers.
- Are enthusiastic about wearing multiple hats and adapting to the shifting needs of a fast-paced startup environment.
- Are exceptionally organized and take pleasure in creating documentation and processes that bring structure to your work.
We Strongly Prefer if...
- You have extensive knowledge of the current AI landscape, particularly LLMs and RAG systems.
- You have prior experience in external customer-facing roles, particularly in a technical capacity.
- You have client-facing experience from a relevant consulting firm.
Compensation:
Competitive salary and benefits (base ranging from $125k- $180k depending on experience) plus MEANINGFUL Equity.