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 We're building category-defining GenAI automations at Wingify (makers of VWO). If you love shipping end-to-end features, obsess over performance and reliability, and want to work at the frontier of agentic systems, this is for you.

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)

2 - 4 years