Forward Deployed Engineer

Nimbleway

. Build AI agents and search integrations with customers and take them to production .

Posted 11/4/2026full-timeUnited StatesMid-LevelSenior💰 $170,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Production Python Development and LLM-Powered Applications, with a strong focus on customer engagement and technical project delivery. Capable of designing evaluations for nondeterministic systems and optimizing workflows for AI agents.

Highest-signal resume keywords

Production Python DevelopmentLLM-Powered ApplicationsCustomer EngagementEvaluation Design for Nondeterministic SystemsExperience with Retrieval and RAG

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScript ModificationOrchestration Code WritingData Delivery to SnowflakeData Delivery to DatabricksWeb Data ScrapingHybrid SearchRerankingFreshness ManagementAI Development ToolsLLM or Agent Work

Soft Skills

Comfort with AmbiguityEffective CommunicationProblem-Solving

Tools & Technologies

MCPOpenAI Agents SDKVercel AI SDKClaude Agent SDK

Industry Keywords

Customer SuccessTechnical Project DeliveryFast-Paced Startup EnvironmentEvaluation ToolsReference Applications

Tech Stack

Tools & technologies

PythonSnowflakeTypeScript

About the role

Key responsibilities & impact

Build AI agents and search integrations with customers and take them to production
Partner with the Solution Consultant and customer engineers to refine architecture and agree on success criteria
Build the first working version against customers’ real queries, workflows, and codebases
Prove implementations on customer evaluation sets
Lead implementation through production deployment and agreed handoff
Equip customer engineers to operate and extend the delivered systems
Refine implementation architecture and choose orchestration approaches
Define evaluations with customers
Negotiate technical scope and sequencing
Decide what can be reused versus what remains customer-specific
Turn customer goals into working flows of Search, Extract, and Web Search Agent calls integrated with customer code
Benchmark quality, latency, and cost; instrument production workflows to detect failures and regressions
Write orchestration code with fan-out, deduplication, retries, and cost caps
Embed Nimble through its MCP server, SDKs, or API on a schedule or on demand
Present results to customer engineers and executives and record the technical win with the Solution Consultant
Write runbooks, train customer engineers, and hand accounts to Customer Success
Identify recurring customer needs and turn successful implementations into reusable integrations, evaluation tools, reference applications, and product improvements
Shape the FDE function, including engagement model, entry and exit criteria, playbook, and future hiring profile
Typical engagements last 12 weeks
Report to the Director of Solution Consulting; no sales quota

Requirements

What you’ll need

Production Python development and ability to read and modify TypeScript
Experience shipping and operating LLM-powered applications for real users
Ability to explain how failures were handled and latency and cost were managed
Experience designing or improving evaluations for an LLM or other nondeterministic system and using results for engineering decisions
Experience building tools for agents through MCP, function calling, or an equivalent
4+ years of software engineering experience
Demonstrable shipped LLM or agent work, such as a repository, live product, or case study
Experience working directly with customers or external partners to scope and deliver technical projects
Ability to run a discovery call with a VP and debug a failing run with an engineer
Comfort with ambiguity and rapid change in a fast-paced startup
Experience with retrieval and RAG, including hybrid search, reranking, and freshness
Experience with LangGraph, the OpenAI Agents SDK, the Vercel AI SDK, or the Claude Agent SDK
Experience delivering data to Snowflake or Databricks
Experience with web data, including scraping, anti-bot systems, and structured extraction
Effective use of AI development tools and responsibility for reviewing, testing, and maintaining generated code

Benefits

Comp & perks

10% to 15% variable pay
Equity
Work on a deeply technical platform powering real-time AI and enterprise decisions
Help define the future of Web Search Agents and live web intelligence
Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership