Uniphore

Uniphore

Senior Forward Deployment Engineer

USA - CA - Palo Alto · Senior

Sponsorship not specified$140k-$193kDetected 22 hours ago
PythonReactVue.jsNode.jsFull-Stack DevelopmentSQLVector DatabasesDockerKubernetesCI/CDDevOpsPlatform EngineeringGraphQLRESTMachine LearningData EngineeringData ScienceLLMsRAGAgentic AILangGraphAI OrchestrationLeadershipCommunication

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Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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About the role

  • As a Senior Forward Deployed Engineer (Sr.
  • This role demands a deep technical skillset, sharp solution thinking, and the ability to guide both customers and internal teams through complex, high-stakes AI projects.
  • You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/ workflows and RAG/SLM finetuning.

Responsibilities

  • Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients.
  • Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery.
  • Customize platform components as needed-integrating new APIs, building reusable tooling, or extending platform logic.
  • Uniphore is one of the largest B2B AI-native companies-decades-proven, built-for-scale and designed for the enterprise.
  • The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.

Requirements

  • Undergraduate, master's degree or Phd in Computer Science or Data Science
  • 6-10+ years of experience in engineering, with 2+ years in customer-facing or field roles.
  • Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD).
  • Knowledge of SLM Finetuning and Distillation is big advantage.
  • Ability to translate ambiguous customer needs into actionable engineering plans.
  • Proven success building and deploying AI/ML or data-intensive applications in production.
  • Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc ).
  • Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs ( AstraDB, Pinecone, Weaviate etc ), RAG pipelines ( LlamaIndex, Haystack) and Agent/Workflow Orchestration ( LangChain, LangGraph, CrewAI )
  • Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage.
  • Strong leadership, mentoring, and project ownership abilities.
  • Excellent communication and collaboration across technical and business stakeholders.
  • Hiring Range:
  • $140,400 - $193,050 - for Primary Location of USA - CA - Palo Alto
  • Benefits:

Compensation

  • In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous pa

Benefits

  • We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Company info

  • Uniphore infuses AI into every part of the enterprise that impacts the customer.
  • As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted.
  • We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
  • Collaborate closely with cross-functional teams internally and with customers to ensure solution success.
  • We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you.

Equal opportunity

  • equal opportunity employer committed to diversity in the workplace.

This listing is sourced directly from Uniphore's careers page and normalized into a canonical job model.