MLabs
MLabs
MLabs tashkilotlarga murakkab dasturiy taʼminot loyihalarini belgilash, yaratish, boshqarish va qoʻllab-quvvatlashda yordam beradigan texnologik konsalting kompaniyasidir. Kompaniya faoliyati Haskell, Rust, blokcheyn va sunʼiy intellekt yoʻnalishlarini, shuningdek funksional dasturlash, kompilyatorlar yaratish, DevOps va full-stack muhandislik sohalaridagi imkoniyatlarni qamrab oladi. MLabs asosan fintech va axborot texnologiyalari sohalaridagi mijozlarga xizmat koʻrsatib, loyiha hayotiy siklining barcha bosqichlarida texnik ekspertiza taqdim etadi.

Forward Deployed Engineer, Hybrid in New York City

Lead enterprise AI deployments from discovery through production. Build LLM-powered solutions for complex operational needs at a high-growth technology organization.

Tavsif

  • Lead client engagements from technical discovery and scoping through architecture, implementation, evaluation, production rollout, and long-term adoption.
  • Work with commercial teams on pre-sales discovery, tailored AI solution design, and validation of high-value customer opportunities.
  • Build and integrate production AI systems that move clients from early concepts to live environments.
  • Create scalable AI applications with LLMs, model APIs, tool calling, RAG, context management, structured outputs, and agentic workflows.
  • Turn recurring customer insights into product improvements, reusable components, playbooks, tools, and core product features.
  • Spot operational and technical opportunities, develop architectural recommendations, and execute independently.
  • Collaborate with product, sales, and engineering leaders across the customer journey.

Talablar

  • At least five years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer, with substantial end-to-end customer ownership.
  • Demonstrated ability to take ambiguous client challenges from discovery through production deployment and measurable business impact.
  • Ability to weigh client needs, product capabilities, engineering complexity, cost, and latency.
  • Proficiency in Python and/or Rust, React/TypeScript, SQL, APIs, system integrations, authentication protocols, cloud infrastructure, and production observability.
  • Practical experience building AI applications, including model APIs, context management, tool integration, retrieval architectures, model evaluation, and performance optimization.
  • For remote arrangements, candidates must be based in the United States or Europe.
  • New York City-based candidates are expected to work in the office two to three days per week.
  • Self-directed approach and comfort working independently in fast-paced, ambiguous settings.
  • Willingness to travel up to 30% each year for in-person team collaboration and client work.
  • Excellent written and spoken English communication skills.
  • Ability to explain complex technical architecture to technical and executive audiences.
  • Familiarity with profiling tools, optimization methods, and low-latency system design.

Imtiyozlar

  • Equity package tied to performance and company growth.
  • Opportunity to take on a foundational role in a rapidly growing global technology organization.
  • Remote work options in the United States and Europe.
  • Hybrid work flexibility in New York City.

O‘xshash ish o‘rinlari

Provectus

Associate Forward Deployed Engineer at Provectus (Hybrid)

Provectus

Help Provectus clients put Claude, agentic systems, and production AI workflows to work. Learn how client teams operate and deliver evaluated solutions on AWS.

Ochish