Forward Deployed Engineer

Salary Range: 175000 to 250000 (Currency: USD) (Pay period: per-year-salary)

What You'll Do

• Lead execution of complex coding projects for enterprise clients, translating requirements into clear plans and deliverables.
• Own operational KPIs for quality, throughput, timelines.
• Manage and mentor large, distributed coding teams, fostering accountability, continuous learning, and a high-performance culture.
• Oversee code quality through regular reviews, identifying improvements and ensuring best practices are followed
• Define and enforce QA protocols 
• Unblock projects in real time, making decisive trade-offs on scope, resources, and risk during standups and client discussions.
• Collaborate cross-functionally with product, engineering, and client stakeholders.
• Drive innovation in project execution, improving processes, contractor management, and delivery methodologies over time.
• Collaborate with customer research and ML teams to explore data-driven improvements to model performance, including experimentation and evaluation approaches.
• Support applied research efforts by helping design and execute data strategies tied to techniques such as fine-tuning and reinforcement learning.

What You'll Bring

• Strong coding expertise in one or more popular languages (Python, Java, C++, JavaScript), with the ability to reason about unfamiliar codebases and spot issues without execution.
• Track record of leading complex technical projects from planning through delivery, balancing quality, timelines, and client needs.
• Skill in breaking down ambiguous requirements into clear, reproducible examples, test plans, and edge-case scenarios that guide team execution.
• Solid grounding in software development best practices including version control (Git), testing, debugging, and code review.
• Understanding of LLMs, AI technologies, and the GenAI landscape, with the ability to apply insights to project design and delivery.
• Fluency in spoken and written English, with the ability to collaborate across time zones and communicate technical decisions to diverse stakeholders.
• Calm, detail-focused problem solver with strong analytical skills, able to make thoughtful, decisive calls in fast-moving scenarios while maintaining high standards of ethics and quality.
• Interest in applied AI research and experimentation, with exposure to concepts like LLM evaluation, fine-tuning, or reinforcement learning.

Nice To Have

• Experience managing distributed or contractor-heavy coding teams at scale, with the communication and leadership skills to align contributors toward shared goals.