Forward Deployed Engineer

eos talent • United State
Remote
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AI Summary

eos talent is hiring a Forward Deployed Engineer to bridge the gap between the core engineering team and enterprise customers. The successful candidate will design, build, and deploy AI-powered solutions in complex environments. Key requirements include 3-7 years of experience in software engineering, data engineering, or applied ML.

Key Highlights
Partner with enterprise customers to understand business goals and technical constraints
Design and deploy agentic AI applications
Act as a trusted technical advisor
Key Responsibilities
Partnering with enterprise customers to understand business goals, data landscapes, and technical constraints
Designing and deploying agentic AI applications
Acting as a trusted technical advisor
Technical Skills Required
Python TypeScript APIs Cloud infrastructure Data pipelines Large language models Retrieval-augmented generation Multi-agent orchestration Vector databases
Benefits & Perks
Meaningful equity participation
Fully remote working arrangement
Access to data from leading organizations
Nice to Have
Hands-on experience with AI technologies including LLMs, RAG, embeddings, and vector databases
Prior experience at an AI, data, or B2B SaaS company
Familiarity with multimodal content generation and document processing

Job Description


Hiring in London/US



This is an exclusive search on behalf of a fast-growing AI company ($15 million Series A) working with enterprises that own large proprietary datasets. The company is looking for a Forward Deployed Engineer to serve as the bridge between its core engineering team and enterprise customers. The successful candidate will design, build, and deploy AI-powered solutions in complex, real-world environments, working directly with clients to solve their most pressing data and intelligence challenges


.
The Ro

leKey responsibilities includ

  • e:Partnering with enterprise customers to understand business goals, data landscapes, and technical constrain
  • tsDesigning and deploying agentic AI applications, integrating the core platform into customer systems and workflo
  • wsBuilding connectors, pipelines, and custom interfaces so enterprise data flows securely and efficiently into the platfo
  • rmPrototyping and delivering new use cases using large language models, retrieval-augmented generation, and multi-agent orchestrati
  • onActing as a trusted technical advisor, supporting pilots, integrations, and scaled deploymen


ts
What the Ideal Candidate Looks L

  • ike3 to 7 years of experience in software engineering, data engineering, or applied ML, ideally in a customer-facing or consulting capac
  • ityProficient in Python, TypeScript, or a similar language, with experience across APIs, cloud infrastructure, and data pipeli
  • nesComfortable engaging C-suite and senior technical stakehold
  • ersA strong problem solver who works autonomously and thrives in ambiguous, fast-moving startup environme
  • ntsMotivated by seeing work deliver immediate, tangible value to enterprise clie


nts
Bonus Experi

  • enceHands-on experience with AI technologies including LLMs, RAG, embeddings, and vector datab
  • asesPrior experience at an AI, data, or B2B SaaS company, or in a solutions engineering or implementation
  • roleFamiliarity with multimodal content generation and document proces
  • singCloud platform experience across AWS, GCP, or Azure, including MLOps too
  • lingExperience with API design and integration for AI serv


ices
What Is on

  • OfferMeaningful equity participation in a high-growth AI bus
  • inessFully remote working arrang
  • ementThe opportunity to shape AI-driven intelligence infrastructure at an early
  • stageAccess to data from some of the world's leading organisa


  • tions
    This is a hands-on, high-impact role suited to an engineer who enjoys solving open-ended problems, working autonomously, and delivering immediate value to enterprise cl


ients.

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