At a Glance
- Tasks: Lead AI solution deployments and tackle exciting enterprise challenges.
- Company: Join Uniphore, a leader in innovative AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and lead in a collaborative environment.
- Why this job: Make a real impact in the AI space while working on cutting-edge projects.
- Qualifications: Experience in engineering with strong skills in AI/ML applications and full-stack development.
The predicted salary is between 80000 - 100000 € per year.
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 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 a big advantage.
- Experience and knowledge of Agentic development platforms and experience building and delivering 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.
Senior Forward Deployed Engineer in London employer: LinkedIn
At Uniphore, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Forward Deployed Engineer, you will not only tackle cutting-edge AI challenges but also benefit from a supportive environment that encourages professional growth and development. Our commitment to employee success is reflected in our comprehensive training programmes, flexible work arrangements, and the opportunity to work with industry-leading technologies in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Forward Deployed Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. We love seeing real examples of how you’ve tackled complex problems and delivered solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to take on exciting challenges.
We think you need these skills to ace Senior Forward Deployed Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills and experience in your application. We want to see how you've tackled complex AI projects and what tools you've used. Don't hold back on showcasing your full-stack development prowess!
Tailor Your Application:Take the time to customise your application for the Senior Forward Deployed Engineer role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This shows us you’re genuinely interested and understand what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's relevant, and make sure your passion for AI and problem-solving shines through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Node.js, and AI/ML frameworks. Brush up on your full-stack development skills and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex challenges in previous roles. Think about times when you led a project from start to finish, especially in customer-facing situations, and be ready to explain your thought process.
✨Understand the Customer's Perspective
Since this role involves guiding customers through AI projects, it’s crucial to demonstrate your ability to translate their needs into actionable plans. Be prepared to discuss how you’ve successfully collaborated with clients and internal teams in the past.
✨Stay Current with Industry Trends
Familiarise yourself with the latest advancements in AI, particularly around RAG, LLMs, and multi-modal systems. Showing that you’re up-to-date with industry trends will not only impress your interviewers but also highlight your passion for the field.
