LogoFresh Jobs Ahead
MLabs
MLabs
51 – 200 Employees
Skilled Worker Visa SponsorArtificial IntelligenceConsultingFintech
MLabs is a technology consultancy that helps organizations define, build, manage, and maintain complex software projects. Its work spans Haskell, Rust, blockchain, and artificial intelligence, supported by capabilities in functional programming, compiler development, DevOps, and full-stack engineering. The company primarily serves clients in fintech and information technology, offering technical expertise across the project lifecycle.
LinkedIn
Company Jobs

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.

USUnited StatesCACaliforniaNYNew York
$149,000 – $185,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredEngineer
CloudPythonReactRustSQLTypeScript

Description

  • 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.

Requirements

  • 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.

Benefits

  • 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.

Related Jobs