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.

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