Gen AI Engineer

Open Data Science
London
1 week ago
Applications closed

Related Jobs

View all jobs

AI Engineer - Jan 25

AI Engineer

Gen AI Specialist

Data Science Manager – Gen/AI & ML Projects - Bristol

Mid-Level Data Scientists Needed |Financial Services | Guildford Area

Head of Artificial Intelligence

LangChain CrewAI AutoGen GenAI LLM NLP Startup Transformers GetThingsDone AI

Brief description of the vacancy

We’re looking for a Gen AI Scientist to develop, scale, and support our LLM-driven autonomous platform. You’ll work with LangChain, AutoGen, CrewAI, and deploy open-source models (LLaMA, DeepSeek) in the Google Cloud.

About the company

Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth.

We are backed by top investors, including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $3.5m to date.

Responsibilities

  • Develop, scale, and support our LLM agentic system platform.
  • Design and implement AI-driven autonomous workflows, enabling seamless human-AI interaction.
  • Build and deploy open-source models in cloud environments, optimizing inference and serving costs.
  • Improve and maintain data pipeline reliability and participate in on-call rotations.
  • Debug and fix issues in ML pipelines, even when the cause is obscure.
  • Collaborate with cross-functional teams to integrate AI models into production systems.
  • Clearly articulate the work you’ve done and the impact you’ve made.

We are early stage, so the work is dynamic and evolving.Examples of additional challenges you might tackle:

  • Make things work. Even the hardest things.
  • Deploy AI models in scalable and cost-efficient ways.
  • Optimize prompts, refine model outputs, and experiment with novel prompting strategies.
  • Implement backend endpoints to bridge AI capabilities into our production stack.
  • Label data and refine model training workflows.
  • Hire and manage part-time annotators to improve data quality.
  • Create quick prototypes using Dash/Streamlit to validate concepts.
  • Own features end-to-end, from ideation to deployment.
  • Be on-call for urgent AI model fixes or system failures.

Qualifications

  • Proficiency in Python and related libraries (e.g., NumPy, SciPy, pandas) is required.
  • Strong production experience with at least one framework: LangChain, AutoGen, or CrewAI.
  • Deep understanding of agentic systems, autonomous workflows, and LLM-based automation.
  • Experience deploying and fine-tuning open-source models (e.g., LLaMA, DeepSeek) in the cloud.
  • 5 years of hands-on experience in building, productionizing, iterating, and scaling AI-driven pipelines.
  • Ability to take projects to completion, unblock yourself, and present results clearly and impactfully.
  • Staying on top of recent trends, with hands-on experience in fine-tuning LLMs beyond API comparisons.
  • Strong knowledge of software engineering, including building scalable web services and APIs. Experience developing full-stack applications, including database design, API development, admin panel creation, and monitoring systems.
  • Experience with GCP is a big plus.
  • DevOps experience is a big plus.
  • Prompt engineering expertise and creative problem-solving mindset.
  • Experience with processing multimodal data (text, images, audio) is a plus.

Perks and Benefits:

  • Fully Remote:Work from anywhere with flexible hours.
  • In-person Meetups and regular team-building remote events:Enjoy occasional meetups and monthly game sessions.
  • Generous Vacation:Take time off when you need it.
  • Growth Opportunities:Continuous professional development and learning support.
  • Dynamic Culture:Be part of a fast-moving, high-impact team.
  • Stock Options:Get equity in our growing startup.

Contacts

Log In Only registered users can open employer contacts.

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.