Encord Logo

Encord

Forward Deployed Software Engineer

Posted Yesterday
Be an Early Applicant
In-Office
New York, NY, USA
Mid level
In-Office
New York, NY, USA
Mid level
Build and deploy production software for complex customer data, machine learning, and application environments. Own system design, deployments, integrations, backend services, APIs, data workflows, and product functionality end to end. Work directly with customers and engineering teams, debug production issues, create reusable tooling, communicate technical trade-offs, and feed deployment insights into product and engineering roadmaps.
The summary above was generated by AI

About us

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.

 

We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

 

The role

We're looking for an exceptional Forward Deployed Software Engineer (FDSE) to join our engineering team. This is an engineering-first role: FDSEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with users and their engineering teams to understand complex problems, make system design decisions, and build production software that solves them.


As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical engineering function at Encord. You'll work hands-on across the stack, from APIs and data workflows to backend services and product surfaces, while owning technical problems end to end. You'll make architecture decisions under real production constraints, debug complex integrations and workflows, and build solutions that can scale beyond a single customer or use case. You'll operate autonomously, defining the right technical approach with limited guidance, building trusted relationships with users, and feeding what you learn directly back into the product and engineering roadmap.

 

What you'll do

  • Design and build production software for complex data, ML, and application environments

  • Own system design decisions for deployments, balancing correctness, scalability, performance, and speed

  • Work directly with customers and their engineering teams to understand ambiguous problems and define the right technical solution

  • Build across the stack, from APIs and data workflows to backend systems and product-facing functionality

  • Own deployments from technical scoping through implementation, rollout, and iteration

  • Turn recurring customer problems into reusable tooling and product capabilities

  • Debug complex production issues across reliability, performance, and data flow

  • Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders

  • Operate with high autonomy and own problems end to end

  • Feed deployment insights back into Product and Engineering, and help shape the FDSE function as the team grows

     

Who we're looking for

  • A strong software engineer. You have solid fundamentals and the technical depth to design and build complex production systems

  • A first-principles problem solver. You dig into the underlying problem, challenge assumptions, and make sound technical and product trade-offs rather than defaulting to the obvious solution

  • A strong communicator and stakeholder partner. You can build trust, navigate competing priorities, and explain complex decisions clearly

  • An autonomous builder. You operate with limited guidance, create structure from ambiguity, and drive problems through to production

  • A versatile product engineer. You’re comfortable working across the stack and moving between hands-on engineering, product thinking, and conversations with the people using what you build

     

Experience requirements

  • 4+ years of software engineering experience with strong CS fundamentals

  • Experience building production software across the stack, from product-facing applications and APIs to backend services and data workflows

  • Strong system design judgment and experience making architecture decisions for complex software

  • Strong coding skills in a modern language; Python is a plus

  • Evidence of owning technical problems end to end, from design through production

  • Strong product judgment, technical communication, and stakeholder management

  • Experience working directly with users, customers, or external engineering teams is a plus

  • Bonus: experience in a high-growth startup, developer platform, or ML/data product environment

     

Why Encord

  • Competitive salary, bonus, and meaningful equity in a high-growth startup

  • Strong in-person culture — most of the team works from our London office 4+ days/week

  • Flexible PTO to fully recharge

  • Annual learning & development budget

  • Comprehensive health, dental, and vision coverage

  • Frequent travel opportunities across the U.S., London, and Europe

  • Bi-annual company offsites, daily team lunches, and monthly socials

Encord New York, New York, USA Office

New York, NY, United States

Similar Jobs

2 Days Ago
In-Office
Entry level
Entry level
Artificial Intelligence • Computer Vision • Machine Learning • Software
Deploy AI and robotics software at the tactical edge by adapting vision and language models for efficient local operation. Build reliable systems using Python, machine learning frameworks, containerization, model-serving tools, and vector databases. Work directly with customers and operational teams to rapidly develop, test, deploy, and troubleshoot solutions in challenging field environments. The role is office-based in Syracuse with travel of up to 30%.
Top Skills: 3D PrintingAndroidAtakAudit LoggingAuthenticationAutomated TestingC++ChromaCi/CdCotCudaDockerEmbeddingsEncryptionFaissGenerative AiHugging FaceJavaLinuxLlama.CppLlmsLoggingMachine LearningMesh NetworksMilvusNetworkingNvidiaOllamaPythonPyTorchQdrantRagSecrets ManagementTak ServerTakchatTensorrtVllmWatchdogs
5 Days Ago
Hybrid
New York, NY, USA
145K-185K Annually
Senior level
145K-185K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Database • Business Intelligence
Own Salesforce Life Sciences Cloud implementations for enterprise pharmaceutical clients, including feature development, customization, data modeling, integrations, and ETL pipelines. Build Python and Airflow workflows, optimize SQL, translate client requirements into technical architectures, lead implementations, and serve as the technical advisor for strategic accounts. Establish standards and tooling for scaling the Forward Deployed function across customers while independently managing stakeholders and navigating ambiguous technical challenges.
Top Skills: Amazon RedshiftApache AirflowApexETLLightning ComponentsPythonSalesforce FlowsSalesforce Life Sciences Cloud (Engage 360)SnowflakeSQL
6 Days Ago
In-Office or Remote
2 Locations
Entry level
Entry level
Artificial Intelligence • Information Technology
Build and own end-to-end technical solutions for strategic customers, including architectures, product features, and full-scale integrations. Collaborate with customer engineers and executives, apply Python and software development expertise to solve complex problems, and communicate technical concepts clearly. The role is remote-first in the United States with regular travel to customer onsite engagements.
Top Skills: APIsPython

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account