Uniphore

Senior Forward Deployment Engineer

Uniphore$140K — $193K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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 roles
  • Success in deploying AI/ML or data-intensive applications in production
  • Deep full-stack development skills (Python, Node.js/Go, React/Vue)
  • Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks)
  • Solid understanding of LLMs, prompt engineering/tuning, and vector databases
  • Ability to translate ambiguous customer needs into actionable engineering plans

Responsibilities

  • Lead technical solution design and implementation of AI solutions for enterprise clients
  • Act as primary technical contact during development and optimization
  • Own and execute projects from integration design to full-stack delivery
  • Customize platform components by integrating APIs and building tooling
  • Collaborate with cross-functional teams to ensure solution success
  • Provide feedback to Engineering and Product on feature gaps
  • Contribute to best practices and accelerate delivery through reusable assets
  • Champion observability and monitoring for reliable AI agents

Benefits

  • Annual incentive opportunity based on target achievement
  • Pre-IPO stock options
  • Comprehensive benefits including medical, dental, and vision
  • 401(k) with a match
  • Generous paid time off and holidays
  • Paid day off for your birthday
  • Supportive leave policies for various life phases
Full Job Description
Job Description:

Location: Palo Alto, CA
Department: Engineering
Reports To: Director, Forward Deployed Engineering

About the Role

As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer-specific applications on our Agentic AI platform. 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.


  • Act as the primary technical point of contact during solution development and post-deployment optimization.


  • 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.


  • Collaborate closely with cross-functional teams internally and with customers to ensure solution success.


  • Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points.


  • Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation.


  • Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents.


  • Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI.


Qualifications

  • 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.


  • Proven success building and deploying AI/ML or data-intensive applications in production.


  • Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD).


  • 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)


  • Knowledge of SLM Finetuning and Distillation is big advantage.


  • Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage.


  • Ability to translate ambiguous customer needs into actionable engineering plans.


  • 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:

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 paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.

Location preference:
USA - CA - Palo Alto

About Uniphore

Uniphore is a global provider of conversational AI solutions. The company was founded in 2008 and has offices in India, the United States, and Singapore. Uniphore's solutions use natural language processing and machine learning to enable businesses to automate customer service and support operations. The company's clients include some of the world's largest companies in industries such as banking, insurance, and telecommunications. Uniphore has won numerous awards for its innovative solutions and has been recognized as a leader in the conversational AI market.
Learn more about Uniphore
Size
500 employees
Industry
Founded
2008

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