LangChain CrewAI AutoGen GenAI LLM NLP StartupTransformers GetThingsDone AI Brief description of the vacancyWe’re looking for a Gen AI Scientist to develop, scale, and supportour LLM-driven autonomous platform. You’ll work with LangChain,AutoGen, CrewAI, and deploy open-source models (LLaMA, DeepSeek) inthe Google Cloud. About the company Anecdote is an innovative,AI-first startup revolutionizing how companies analyze customerfeedback. Our AI-powered platform consolidates feedback from appreviews, 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 abetter, real-time customer experience that drives sustainablegrowth. We are backed by top investors, including Neo, Sukna, RaceCapital, Propeller, and Wamda, having raised $3.5m to date.Responsibilities - Develop, scale, and support our LLM agenticsystem platform. - Design and implement AI-driven autonomousworkflows, enabling seamless human-AI interaction. - Build anddeploy open-source models in cloud environments, optimizinginference and serving costs. - Improve and maintain data pipelinereliability and participate in on-call rotations. - Debug and fixissues in ML pipelines, even when the cause is obscure. -Collaborate with cross-functional teams to integrate AI models intoproduction systems. - Clearly articulate the work you’ve done andthe impact you’ve made. We are early stage, so the work is dynamicand evolving. Examples of additional challenges you might tackle: -Make things work. Even the hardest things. - Deploy AI models inscalable and cost-efficient ways. - Optimize prompts, refine modeloutputs, and experiment with novel prompting strategies. -Implement backend endpoints to bridge AI capabilities into ourproduction 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. - Beon-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 experiencewith at least one framework: LangChain, AutoGen, or CrewAI. - Deepunderstanding of agentic systems, autonomous workflows, andLLM-based automation. - Experience deploying and fine-tuningopen-source models (e.g., LLaMA, DeepSeek) in the cloud. - 5 yearsof hands-on experience in building, productionizing, iterating, andscaling AI-driven pipelines. - Ability to take projects tocompletion, unblock yourself, and present results clearly andimpactfully. - Staying on top of recent trends, with hands-onexperience in fine-tuning LLMs beyond API comparisons. - Strongknowledge of software engineering, including building scalable webservices 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 andcreative problem-solving mindset. - Experience with processingmultimodal data (text, images, audio) is a plus. Perks andBenefits: - Fully Remote: Work from anywhere with flexible hours. -In-person Meetups and regular team-building remote events: Enjoyoccasional meetups and monthly game sessions. - Generous Vacation:Take time off when you need it. - Growth Opportunities: Continuousprofessional development and learning support. - Dynamic Culture:Be part of a fast-moving, high-impact team. - Stock Options: Getequity in our growing startup. Contacts Log In Only registeredusers can open employer contacts. #J-18808-Ljbffr
