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Senior Fullstack Engineer, Boston

Venus Consultancy
locationCambridge, MA, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job DescriptionAbout Us

We are a fast-growing GenAI startup building intelligent, production-grade applications powered by large language models and modern cloud infrastructure. Our mission is to transform how businesses interact with data and automation through AI-first products.

Role Overview

We are seeking a talented Full Stack Engineer to help design, build, and scale our GenAI platform. You will work across frontend, backend, and AI-integrated services, collaborating closely with product, ML, and design teams to deliver impactful user experiences.

Responsibilities

  • Design and develop scalable frontend applications using React / Next.js (or similar frameworks)

  • Build backend APIs and services using Python, Node.js, or Go

  • Integrate GenAI/LLM workflows (OpenAI, Anthropic, HuggingFace, etc.) into production systems

  • Develop secure, high-performance REST/GraphQL APIs

  • Work with vector databases and traditional data stores (Postgres, Redis, Pinecone, Weaviate, etc.)

  • Implement authentication, authorization, and observability best practices

  • Deploy and maintain cloud infrastructure on AWS/GCP/Azure

  • Collaborate with ML engineers on model serving and inference pipelines

  • Participate in architecture discussions and contribute to technical direction

  • Own features end-to-end—from concept to production

Required Qualifications

  • Strong experience in Full Stack development (frontend + backend)

  • Proficiency in JavaScript/TypeScript and one backend language (Python preferred)

  • Experience with modern frontend frameworks (React/Next.js/Vue)

  • Hands-on experience building APIs and microservices

  • Familiarity with cloud platforms and CI/CD pipelines

  • Solid understanding of databases and system design

  • Passion for startups, ownership, and rapid iteration

Nice to Have

  • Experience working with LLMs or GenAI frameworks (LangChain, LlamaIndex, etc.)

  • Knowledge of vector databases and RAG pipelines

  • DevOps experience (Docker, Kubernetes, Terraform)

  • Prior startup experience

What We Offer

  • Opportunity to build cutting-edge GenAI products from the ground up

  • High ownership and real impact on product direction

  • Collaborative, fast-paced startup culture

  • Competitive salary + equity

  • Flexible work environment

  • Learning budget and career growth opportunities

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