At a Glance
- Tasks: Design and build innovative LLM applications using cutting-edge technologies.
- Company: Join a forward-thinking tech company with a focus on AI and collaboration.
- Benefits: Enjoy flexible work-from-home options, competitive salary, and 18 paid vacation days.
- Other info: Opportunities for professional growth through paid courses and a supportive environment.
- Why this job: Make an impact in the AI field while working with a talented community.
- Qualifications: Strong Python skills and experience with LLM apps and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
- Strong Python (typing, tests, packaging) and web/service basics (Fast API, Docker).
- Hands‑on building LLM apps with one or more: Lang Chain, Lang Graph, Auto Gen, Dify (or equivalents).
- Evaluation mindset: design offline eval sets and release gates; reason about faithfulness vs relevancy; control p95 latency & $/session.
- Cloud proficiency in AWS or Azure (using at least one in production).
- Comfort with observability (Open Telemetry/Lang Smith/Prometheus/Grafana or similar).
Responsibilities
- Design & build LLM applications: RAG over client KBs, multi‑tool/agent graphs, prompt strategies, and voice UX (STT/TTS).
- Own evaluation & quality: latency/cost budgets, A/Bs.
- Automate with n8n (or similar): connect services, data, and back‑office workflows; expose reliable admin ops for non‑engineers.
- Ship pipelines: Airflow for orchestration; dbt for transformations/semantic layer where relevant.
- Productionize: tracing/observability, feature flags, safe rollouts, secrets & config hygiene.
- Collaborate with clients: discover scope, explain trade‑offs, demo progress; optional presales spikes/estimates.
Nice to have
- Workflow: n8n design for non‑tech ops; governance of low‑code automations.
- Frontend for AI UX (React/Next. js, Type Script).
- Compliance awareness for Ed Tech (FERPA/COPPA) and Healthcare (HIPAA/GDPR).
What we offer
- Flexible work‑from‑home policy
- Competitive salary and performance review
- PE accounting and support
- 18 paid vacation days per year
- The system of bonuses (Sport/Health/Education)
- Expert community within the company
- Paid courses and trainings, internal knowledge library
- #J-18808-Ljbffr
AI Engineer in London employer: Light it
As an AI Engineer at our company, you will thrive in a dynamic and innovative environment that champions flexibility and employee growth. With a competitive salary, generous vacation days, and a commitment to continuous learning through paid courses and an expert community, we foster a culture of collaboration and excellence. Our work-from-home policy ensures you can balance your professional and personal life while contributing to cutting-edge LLM applications in a supportive setting.
We think you need these skills to ace AI Engineer in London
Python
FastAPI
Docker
LangChain
LangGraph
AutoGen
Dify
