We are establishing a Forward Deployed Engineering (FDE) team who will work
closely with our most strategic customers to deeply understand their use cases
and design, build, and implement products for them. As one of our founding FDEs,
you will deploy these solutions on the latest infrastructure for the world’s
most influential businesses, driving real business impact through the newest
models and our own innovations in technical delivery.
Forward Deployed AI Engineers’ responsibilities look similar to those of a
hands-on AI startup CTO: you’ll work in small teams to own delivery of high
stakes projects with clients. A day’s work may include building LLM workflows on
a large scale, interacting with customers to understand their needs and set
their AI strategy, but the most impact will be driven by implementing solutions
into the real world of our partner’s organizations.
We are looking for customer-focused software engineers to build effective custom
software that leverages leading AI models and technology to solve real customer
problems. As an FDE you will partner directly with customers to conceptualize,
design, and implement cutting-edge AI solutions. This role focuses on leveraging
generative AI models, agentic systems, and iterative prototyping to build
impactful proofs of concept (PoCs) that address unique business challenges. The
FDE acts as a bridge between advanced AI technologies and practical enterprise
applications, ensuring that solutions are both innovative and actionable.
You will collaborate closely with Sales, Solutions Engineering, Solutions
Architects, and Customer Success Managers who work on the same account. You will
also be self driven to learn about the AI market and bring forward that
knowledge to improve the way in which we deliver to customers.
Responsibilities
Customer Engagement:
* Collaborate deeply with clients to understand their strategic objectives,
technical requirements, and operational constraints.
* Serve as a trusted advisor for AI strategy, guiding clients through the
process of ideating and implementing generative and agentic AI solutions.
* Facilitate workshops and brainstorming sessions to identify high-value use
cases for AI technologies.
* AI Solution Development:
* Design, prototype, and deploy AI-powered PoCs using generative models (e.g.,
GPT, DALL-E) and agentic systems tailored to specific client needs.
* Build end-to-end pipelines for deploying AI solutions on client
infrastructure, ensuring scalability, security, and performance.
* Experiment with cutting-edge methods in natural language processing (NLP),
computer vision, reinforcement learning, and multi-agent systems to deliver
innovative solutions.
* Iterative Prototyping:
* Use an experiment-driven approach to rapidly test hypotheses and refine
prototypes in collaboration with client teams.
* Develop reusable frameworks and tools to accelerate the deployment of
generative AI solutions across diverse industries.
* Cross-Functional Collaboration:
* Work closely with Sales, Applied Research, Product Development, and Customer
Success teams to ensure seamless project execution.
* Provide actionable feedback from customer engagements to inform the
development of new AI capabilities.
* Knowledge Sharing:
* Document best practices and lessons learned from client projects to
contribute to internal knowledge bases.
* Mentor junior engineers on the application of generative and agentic AI
technologies in real-world scenarios.
Requirements
Technical Expertise:
* Strong proficiency in programming languages such as Python or JavaScript,
with experience in frameworks like TensorFlow or PyTorch.
* Hands-on experience with generative AI models (e.g., GPT-4/5), agentic
systems, or reinforcement learning frameworks.
* Familiarity with deploying machine learning models in production environments
using cloud platforms (e.g., AWS, Azure) or on-premise systems.
* Problem-Solving Ability:
* Proven ability to translate abstract business challenges into concrete
technical solutions using generative AI.
* Strong analytical skills to evaluate model performance and optimize for
specific use cases.
* Client-Facing Skills:
* Exceptional communication skills for explaining complex AI concepts to
diverse stakeholders.
* Ability to build trust-based relationships with clients and navigate
ambiguous problem domains collaboratively.
Adaptability:
* Flexibility to work across industries such as healthcare, finance, defense,
or retail while tailoring solutions to each domain.
* Willingness to travel or work on-site with clients as required.
Requirements (Education, Certification, Training, and Experience)
* Bachelor’s degree in computer science or related field or equivalent
experience
* At least 3 years of experience in software engineering or applied machine
learning roles.
* Direct experience working with customers on the development of AI-driven
applications is highly desirable
* Passion for exploring the frontiers of generative and agentic AI
technologies.
* Entrepreneurial mindset with a focus on delivering measurable business impact
through innovative solutions.
* Commitment to continuous learning and staying at the forefront of AI
advancements.
This role is ideal for those who thrive at the intersection of technology
innovation and customer engagement. As an FDE specializing in generative AI
methods, you will have the opportunity to shape the future of enterprise AI
adoption while solving some of the most complex challenges faced by leading
organizations.
