Full Stack AI Engineer

About VWO

VWO is a leading Digital Experience Optimization platform trusted by over 3,000 businesses in 100+ countries, including global brands like Samsung, Vodafone, Toyota, HBO, and Domino's. What began 15 years ago as one of the world’s first A/B testing tools has since evolved into a comprehensive, enterprise-grade platform used by product, marketing, and growth teams to experiment, personalize, analyze behavior, and build exceptional digital experiences.

Today, VWO offers a full-stack suite for A/B testing, multivariate testing, feature rollouts, heatmaps, session recordings, behavioural analytics, surveys, personalization, and more across web, mobile, and server-side applications — all in one unified platform. We enable teams to make confident, data-driven decisions that drive user engagement, retention, and conversion.

VWO is a profitable, founder-led business with $50M+ ARR, strong EBITDA margins, and a history of capital-efficient, sustainable growth. In January 2025, Everstone Capital acquired a majority stake in the company to help accelerate our global expansion — both organically and inorganically.

We are a fully remote team of 450+ people, with go-to-market teams across the Americas, Europe, and APAC, and product and engineering anchored in India. Our culture values deep thinking, fast execution, and strong ownership — with minimal bureaucracy and high autonomy. Despite our scale, we continue to operate with the agility and ambition of a startup.

Role: Full-Stack AI Engineer

agentic systems

What you’ll do

• Design, build, and maintain scalable

  backend services & APIs

  that power GenAI features.
• Develop

  GenAI applications

  (agents, copilots, automations) end-to-end—prototype, iterate, productionize.
• Orchestrate

  agentic workflows

  (e.g., CrewAI, Autogen, LangGraph) and integrate with product surfaces.
• Implement retrieval &

  memory

  patterns (RAG, session/long-term memory, summaries) with vector/graph stores.
• Own quality in production:

  observability

  , cost/latency optimisation, evals, and safety/guardrails.
• Collaborate with design & frontend to deliver crisp UX (React), and with product to shape the roadmap.

What you’ll bring

• 2 - 4 years

  of professional software experience, with a backend focus and solid full-stack instincts.
• Strong in

  Python

  (and/or Node.js/TypeScript), REST/GraphQL, and SQL.
• Hands-on experience integrating

  LLMs/GenAI

  into applications (OpenAI/Anthropic or open-source models).
• Familiarity with

  observability & eval tools

  like Langfuse, LangSmith, Arize, or similar platforms for monitoring, tracing, and evaluating GenAI systems.
• Practical knowledge of

  data & infra

  : Postgres/MySQL, MongoDB, Redis/Memcached, Kafka, Nginx, Docker.
• Working familiarity with

  React

  and modern frontend workflows.
• Solid engineering fundamentals: testing, code quality, CI/CD, and debugging complex systems.

Bonus points

• AI developer tooling

  : LangSmith/LangFuse, Weights & Biases, prompt/version management, eval harnesses.

• Memory management expertise

  : vector/graph stores (pgvector, Pinecone, Weaviate), chunking/recall strategies, hybrid search, context-window optimisation.
• Model orchestration & serving (OpenAI/Anthropic + local models), embeddings, safety/guardrail tooling.
• 0→1/startup experience; product sense and customer empathy.

Why join us

• Impact at speed:

  Operate like a startup inside an established company—own problems, ship fast, see real user impact.

• Cutting-edge work:

  Build agentic systems and production GenAI apps that automate meaningful workflows.

• Growth & autonomy:

  End-to-end ownership, direct exposure to customers, and the freedom to experiment.

• Great peers:

  A small, senior team that values craftsmanship, clarity, and outcomes.

Location: Fully Remote (India)