Mid level engineers in React JS, Node JS and TypeScript
1 month ago
About
OneShot is the first true end-to-end autonomous prospecting platform. Our advanced generative AI and machine learning technology automates the manual prospecting busywork, allowing sales teams to focus on high-value accounts and activities.
We're a passionate team obsessed with building cutting-edge AI solutions to empower B2B salespeople.
We're looking for a highly motivated full-stack engineer to join our mission and help us develop the next generation of AI agents, autopilots, and copilot tools.
What you'll be doing:
You'll own the entire development lifecycle, from crafting clean, modularized frontend code with ReactJS to building robust backend functionalities with NodeJS and managing data with MongoDB.
We'd love to see your experience working with Large Language Models (RAG/Fine-Tuning), GitHub Actions, AWS deployments (CodePipeline, Elastic Beanstalk, Lambda functions), and monitoring tools (CloudWatch logs, and feature usage analytics).
You'll be empowered to take risks, experiment, and constantly learn. Your work will directly impact B2B sales professionals, streamlining their workflows and boosting their productivity.
Why You'll Love Working Here:
You'll be building really cool AI Agents/Co-pilots for B2B SAAS Sales teams. Be a part of creating groundbreaking AI tools that revolutionize the B2B sales landscape.
Take complete ownership of features, from ideation to implementation and monitoring.
Work alongside a team of driven and hungry individuals who are dedicated to solving problems.
We foster a culture of innovation and continuous learning, with opportunities for rapid personal and professional growth.
You will:
Highly committed and thrives in fast-paced environments.
Insatiable curiosity and a willingness to dive deep into technical research.
Enjoys writing clean, modular, and test-driven code.
Passionate about learning new technologies and staying ahead of the curve.
Tech Stack:
ReactJS (front-end development)
NodeJS (back-end development)
MongoDB
Express
AWS
Bonus Points for:
Experience with Large Language Models (RAG/Fine-Tuning)
Familiarity with GitHub Actions, AWS deployments (CodePipeline, Elastic Beanstalk, Lambda functions)
Experience with monitoring tools (CloudWatch logs, feature usage analytics)
focuses on Sales and Marketing, CRM, Sales Automation, and Sales Enablement. Their company has offices in London. They have a small team that's between 11-50 employees.
You can view their website at
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