Forward deployed engineer jobs that mention Evals

Evals shows up in the posting text of these roles. It is extracted from prose the employer wrote, not from a structured field, so treat it as a strong hint about the work rather than a stated requirement — the row badges show the requirements that are stated (clearance, work authorization, customer site, travel).

Last refreshed 2026-09-29 · 47 roles · 21 companies

  • 47 roles tracked
  • 21 companies
  • 8 remote-friendly
  • 4 with disclosed pay

Extracted automatically from public job postings. Always verify details on the original posting before applying.

Machine Learning Engineer, Search Quality

Glean San Francisco, CA Applied AI Onsite

Build systems used daily across various platforms, including Microsoft Teams, Zoom, and GitHub, to develop and ship agentic capabilities on an open stack.

PythonGoJavaAgentsMachine LearningQuery UnderstandingDocument UnderstandingDomain-Adapted Language Models

    Applied AI Architect, Public Sector

    Anthropic Washington, DC FDE Onsite

    Partner with customers to understand their requirements and architect technical solutions for integrating Claude into their tech stack.

    Anthropic APIEvalsLLMClaudeClaude CodeClaude APIClaude for Enterprisetechnical architecture

      ClearanceCustomer site

    Applied AI Research Engineer

    Starburst United States Applied AI Hybrid

    Design and build systems that connect AI agents to verified data sources, and optimize retrieval pipelines for accuracy and latency.

    PythonSQLRAGVector DBEvalsAgentsinformation retrievalknowledge representation

      Senior Independent AI Engineer / Architect

      A.Team Americas, Europe, Israel Applied AI Onsite

      Work as a senior AI engineer on small teams solving real problems, deploying AI systems into production.

      AgentsAIMachine learningAgent architecturesOrchestration systemsEnterprise AI deploymentsRetrievalEvaluation

      $120 - $170 /hour 2026-09-16 Original posting ↗

        Applied AI Architect, Startups

        Anthropic San Francisco, CA | New York City, NY FDE Onsite

        Partner with startups to architect AI solutions using Claude, a large language model platform.

        PythonAnthropic APIEvalsAIClaudelarge language modeltechnical architectureevaluation frameworks

          Customer site

        Applied AI Architect, Strategic Enterprise Tech

        Anthropic San Francisco, CA | New York City, NY | Seattle, WA FDE Onsite

        Partner with account executives to translate customer requirements into technical solutions, and serve as primary technical advisor to enterprise customers throughout their Claude adoption journey.

        Anthropic APIEvalsAIMachine LearningLarge Language ModelsLLMClaudeAPI

          Customer site

        Agentic AI Engineer, Automation

        Anduril Industries Costa Mesa, California, United States Applied AI Onsite

        Automate engineering workflows, build agents, and improve data access for engineers.

        Prompt EngineeringEvalsAgentsmachine learningAIagent pipelinestoolingempirical methods

          Forward Deployed Engineer

          Figma San Francisco, CA • New York, NY • United States FDE Onsite

          Embeds with customers to make Figma's products work in their environments, solving adoption challenges and building partnerships with senior engineering teams.

          Prompt EngineeringEvalsAgentsMCPFigmafrontend stackslegacy systemssecurity

            Customer site

          Applied AI Architect

          Anthropic Seoul, South Korea FDE Onsite

          Partner with customers in South Korea to understand their requirements and implement Claude AI solutions.

          PythonAnthropic APIEvalsAILLMClaude APIClaude for WorkTechnical architecture

            Customer site

          Senior AI/ML Engineer

          PagerDuty Lisbon Applied AI Onsite

          Design and build AI-powered features, architect and own systems behind them, and partner with teams to integrate AI into existing services.

          RAGKubernetesAWSAzureGCPEvalsAgentsObservability

            Applied AI Engineer, Enterprise

            Anthropic Munich, Germany FDE Onsite

            Partner with customers to deploy Claude, a large language model, into their operations and products, and advise on architecture and evaluation.

            Anthropic APIAgentsClaude PlatformAIarchitectureevaluationGermantechnical advisor

              Applied AI Architect, Industries

              Anthropic London, UK FDE Onsite

              Partner with customers to integrate Claude into their tech stack, architecting solutions and guiding technical decisions.

              PythonAnthropic APIEvalsLLMClaude APIClaude for Worktechnical architectureevaluation frameworks

                Customer site

              Applied AI Engineer

              Anthropic Tokyo, Japan FDE Onsite

              Develop and implement bespoke LLM solutions for top enterprises in Japan, collaborating with sales, product, and engineering teams.

              PythonAnthropic APIEvalsLLMAIcustomer-facing experiencetechnical skillssystem architecture

                Customer site

              Applied AI Architect, Enterprise Tech

              Anthropic San Francisco, CA | New York City, NY | Seattle, WA FDE Onsite

              Partner with customers to understand their requirements and architect technical solutions for Claude integration.

              PythonAnthropic APIEvalsLLMClaude APIClaude for Worktechnical architectureevaluation frameworks

                Customer site

              AI Engineer - Nova Agents

              Iterable Hybrid - Lisbon, Portugal Applied AI Hybrid

              Designs and builds Machine Learning platform components, including retrieval systems, evaluation frameworks, and model integration layers.

              PythonTypeScriptRAGSnowflakeEvalsAgentsObservabilityMachine Learning

                Machine Learning Engineer, Platform

                Scale AI London, UK Applied AI Onsite

                Builds and deploys machine learning systems for production use cases, focusing on retrieval systems, RAG pipelines, and knowledge representation.

                PythonRAGVector DBEvalsAgentsMachine LearningRAG pipelinesKnowledge representation

                  Forward Deployed AI Engineer, West

                  Arize AI Remote (San Francisco) FDE Remote

                  Partner with AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs.

                  PythonTypeScriptJavaKubernetesDockerAWSAzureGCP

                  $155,000 – $190,000 / yr 2026-06-15 Original posting ↗

                    Sr.AI Engineer

                    Cohere Health Hyderabad, Telangana, India Applied AI Onsite

                    Develops AI-powered agents and applications, designs data and retrieval architectures, and ensures security and compliance.

                    RAGTerraformEvalsAgentsAgent frameworksLanguage modelsCloud platformCI/CD pipelines

                      Research Scientist - Frontier Benchmarks

                      Snorkel AI New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) Applied AI Remote

                      Design datasets and benchmarks for frontier model evaluation, and translate insights into clear narratives for customer-facing presentations.

                      EvalsAgentsAI/ML evaluationNLPExperimental designRigorous researchData operationsProduct

                        Senior Machine Learning Engineer - Policy & Safety

                        Spotify New York, NY Applied AI Hybrid

                        Design, build, and ship production-grade machine learning systems for content safety and policy enforcement at Spotify scale.

                        PyTorchEvalsmachine learningML modelsmultimodal systemsLLM-based systemsevaluation frameworksdatasets

                        $184,050 – $262,928 / yr 2026-05-04 Original posting ↗

                          Applied AI Architect, Commercial

                          Anthropic San Francisco, CA | New York City, NY FDE Onsite

                          Partner with customers to understand their requirements and translate them into technical solutions for Claude adoption.

                          PythonAnthropic APIEvalsAILLMClaudeAPICode

                            Customer site

                          Director, Forward Deployed Researcher - Data as a Service

                          Snorkel AI New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) FDE Remote

                          Recruit, lead, and develop a team of researchers, set technical standards, and lead technical conversations with clients.

                          EvalsAgentsdataAIresearchspecificationsevaluation frameworkscustomer deliverables

                            Manager, Forward Deployed Engineering

                            Snorkel AI New York City, NY (Hybrid); San Francisco, CA (Hybrid) FDE Hybrid

                            Lead a team of engineers to design, build, and evolve AI data pipelines and workflows.

                            PythonSQLEvalsAgentsdata engineeringML engineeringproduction operationsdataset generation

                              Head of Forward Deployed Engineering

                              Snorkel AI New York City, NY (Hybrid); San Francisco, CA (Hybrid) FDE Hybrid

                              Leads a team to build and deliver high-quality datasets to support AI initiatives, owning the data pipeline and working with customers to define quality standards.

                              PythonSQLEvalsAgentsdata engineeringML engineeringoperationscustomer engagement

                                Staff Machine Learning Engineer

                                Cresta United States (Remote) Applied AI Remote

                                Design, build, and lead the technical vision for next-generation AI systems, including scalable LLM systems and enterprise AI agents.

                                RAGGCPEvalsAgentsMachine LearningLLMsModern Prompting TechniquesRapid Prototyping

                                  Research Scientist

                                  Snorkel AI New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) Applied AI Remote

                                  Design, implement, and validate novel AI techniques, prototype and build end-to-end workflows, and write high-quality code.

                                  PythonPyTorchTensorFlowAWSGCPEvalsAgentsAI

                                    Head of Engineering, AI Platform

                                    Starburst India Applied AI Onsite

                                    Lead the development of the agent platform, hiring and growing a team of senior engineers in India.

                                    EvalsAgentsObservabilityTrinoApache IcebergAIdata consolidationdistributed data environments

                                      Machine Learning Research Scientist, Post-Training

                                      Scale AI San Francisco, CA; Seattle, WA; New York, NY Applied AI Onsite

                                      Develop novel post-training techniques for large-scale generative models, analyze model behavior, and publish research findings.

                                      FineTuningEvalsDeep learningReinforcement learningLarge-scale model fine-tuningRLHFPreference modelingInstruction tuning

                                        Software Engineer, AI/ML Infrastructure

                                        Glean Mountain View, CA Applied AI Onsite

                                        Build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and more, shipping agentic capabilities on an open, extensible stack.

                                        PythonGoJavaRAGAgentsgenerative AIquery understandingdocument understanding

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                                          Sources: company hiring systems (Greenhouse, Lever, SmartRecruiters) plus public job APIs.

                                          • This page is generated from the same job records as the job tracker; every row links to the original posting on the employer's own hiring system.
                                          • Extracted automatically from public job postings. Always verify details on the original posting before applying.
                                          • You apply on the company site — we never collect applications.
                                          • There is deliberately no "on-site" aggregation here: for a large share of the postings, on-site would be our inference from a non-empty location field, not something the employer stated.

                                          Hard requirements to check first — clearance, work authorization, visa sponsorship, travel and customer-site requirements are extracted from the posting text, so you can filter them out before spending time on an application.

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