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
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