Senior Forward Deployed Engineer

Uniphore; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Uniphore is seeking a Senior Forward Deployed Engineer to take technical ownership of strategic AI solution deployments on our Agentic AI platform, leading architecture, prototyping, and delivery for customer-specific applications.

This role requires deep full-stack capabilities, data pipelines, LLM/SLM expertise, and the ability to translate complex customer needs into actionable plans while guiding both customers and internal teams.

Qualifications

• Undergraduate, master’s, or PhD in Computer Science or Data Science.
• 4–10+ years of engineering experience, with 2+ years in customer-facing 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.

Responsibilities

• Lead the technical solution design and delivery for large AI deployments.
• Serve as primary technical contact during solution development and post-deployment optimization.
• Own projects end-to-end from integration design to workflows and full-stack delivery.
• Customize platform components and extend platform logic as needed.
• Collaborate 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 for trustworthy 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.

Skills

Python

Node.js

Go

React/Vue

Docker

Kubernetes

CI/CD

REST APIs

SQL

GraphQL

Webhooks

Vector DBs

LangChain

LangGraph

CrewAI

LLMs

Prompt engineering

RAG pipelines

Data pipelines

Leadership

Education

Bachelor's/Master's/PhD in CS or Data Science

Tools

Agentic platforms

Job description

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
• 4–10+ 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.