Join our fast‑growing AI team to consult enterprise clients, design custom LLM‑powered workflows, and implement intelligent end‑to‑end automations that dramatically reduce operational friction across sales, support, and back‑office functions. You'll work directly with stakeholders in the UK and US to identify high‑impact automation opportunities and turn them into production‑ready systems.
What You Will Do
- Design and implement Generative AI and retrieval‑augmented generation (RAG) pipelines for enterprise use cases.
- Build advanced workflow automations using Python, Azure, and n8n, integrating with CRMs, ERPs, and internal tools.
- Conduct technical workshops and discovery sessions with business stakeholders to scope automation opportunities.
- Evaluate emerging AI frameworks, models, and vendors, and integrate the right ones into enterprise systems.
- Monitor deployed AI workflows in production, troubleshoot issues, and continuously improve accuracy and reliability.
- Document architecture decisions, prompts, and workflows so solutions remain maintainable by the wider team.
- Partner with account managers to translate client pain points into technical proposals and scoped deliverables.
Required Qualifications
- 2+ years building data or AI solutions using Python and modern LLM frameworks.
- Strong understanding of vector databases, prompt engineering, and API integrations.
- Hands‑on experience designing or maintaining automation workflows (n8n, Zapier, Make, or similar).
- Comfortable working with REST APIs, webhooks, and basic cloud infrastructure concepts.
- Excellent written and verbal communication skills for client‑facing technical consulting.
- Ability to manage multiple client engagements and shifting priorities independently.
Nice‑to‑Have Skills
- Experience deploying models on Azure OpenAI, AWS Bedrock, or similar managed AI platforms.
- Background in enterprise business process automation or robotic process automation (RPA).
- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
- Prior consulting or client‑facing delivery experience.
Working Hours & Location
This is an on‑site role based at our office, aligned with UK working hours to support overlap with our clients and internal teams. Occasional flexibility is expected around project deadlines and client workshops.
#J-18808-Ljbffr
