Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Best Practices, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Relations, Data Management, Data Science, Database Optimization, DevOps, Docker, GPU (Graphics Processing Unit), Go Programming Language (Golang), GraphQL, Leadership, Machine Tool, Mentoring, Node.js, Problem Solving Skills, Prototyping, Python Programming/Scripting Language, REST (Representational State Transfer), React.js, SQL (Structured Query Language), System Integration (SI), Systems Analysis, Technical/Engineering Design, Vue.js
Job Title: Senior Forward Deployed Engineer (FDE)
Location: Hybrid, Palo Alto, CA
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.