CARBON3

Senior Pre Sales Engineer – AI Solutions

CARBON3

full-time

Posted on:

Location Type: Hybrid

Location: 🇬🇧 United Kingdom

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Job Level

Senior

Tech Stack

GoGRPCJavaKubernetesPythonPyTorchRay

About the role

  • Engage with enterprise customers to understand business goals and map them to AI workflows.
  • Architect RAG pipelines, fine-tuning strategies, and inference endpoint deployments using our key products.
  • Collaborate with GTM and sales teams during pre-sales cycles, workshops, and proof-of-concepts.
  • Implement, optimise, and deploy models using PyTorch, HuggingFace, LangChain, and NVIDIA Triton.
  • Execute fine-tuning and evaluation of foundation models for domain-specific use cases.
  • Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised or GPU-accelerated environments).
  • Build pipelines that connect structured and unstructured enterprise data into vector databases and embedding models.
  • Design semantic search and retrieval strategies to maximise response accuracy and relevance.
  • Ensure all data pipelines are secure, compliant, and performant at scale.
  • Work closely with infrastructure and platform engineering teams for smooth deployments.
  • Feed insights into the product roadmap and platform feature development.
  • Act as a thought leader and trusted advisor to customers exploring applied AI adoption.
  • Develop and maintain 3–4 reusable solution accelerators (templates, playbooks, code repos) adopted across projects.
  • Reduce model deployment cycle time by >30% through automation, tooling, or platform improvements.
  • Train or mentor at least 2 junior engineers or solution architects in AI delivery best practices.
  • Contribute 2+ technical case studies, blog posts, or conference talks showcasing Carbon3.ai’s AI solutions.
  • Support pre-sales activities resulting in measurable influenced ARR aligned with GTM metrics.

Requirements

  • Experience working directly with enterprise customers and translating technical concepts into business value.
  • Solid experience within AI/ML engineering, applied AI, or solutions engineering roles.
  • Proven experience with: RAG pipelines (LangChain, LlamaIndex, Weaviate, Pinecone, Milvus, etc.)
  • Fine-tuning LLMs (LoRA, PEFT, instruction-tuning, domain adaptation)
  • Deploying inference endpoints at scale (Triton, HuggingFace Inference, Ray Serve, Kubernetes)
  • Strong coding skills in Python (and ideally one of Go, Java, or C++).
  • Deep understanding of vector databases, embeddings, and semantic search.
Benefits
  • Competitive compensation and performance-linked rewards

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI workflowsRAG pipelinesfine-tuning strategiesinference endpointsPyTorchHuggingFaceLangChainNVIDIA Tritonvector databasessemantic search
Soft skills
customer engagementcollaborationthought leadershipmentoringcommunicationproblem-solvingbusiness value translationinsight generationproject managementteamwork