Generative 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

The Role

• Design, build & maintain scalable backend services and APIs that power GenAI features across the VWO platform.
• Develop GenAI applications end-to-end — agents, copilots, and automations — from early prototype through production.
• Orchestrate agentic workflows using frameworks like CrewAI, Autogen, or LangGraph, and integrate them seamlessly into product surfaces.
• Implement retrieval and memory patterns (RAG, session and long-term memory, summarisation) backed by vector and graph stores.
• Own quality in production: observability, cost and latency optimisation, evaluation frameworks, and safety guardrails.
• Collaborate cross-functionally with design and frontend (React) and with product to shape the GenAI roadmap.

REQUIREMENTS

What You'll Bring

• 2–4 years of professional experience with a backend focus and solid full-stack instincts.
• Strong Python expertise (primary language); working proficiency in Node.js/TypeScript, REST/GraphQL, and SQL.
• Deep expertise in LLMs and Agentic AI — you understand how large language models work, their failure modes, and how to build reliable agentic systems around them.
• Hands-on experience with LangChain/LangGraph and at least one other orchestration framework (CrewAI, Autogen, or similar) in production.
• Deep practical knowledge of RAG — retrieval strategies, chunking, re-ranking, hybrid search, and vector databases (pgvector, Pinecone, Weaviate, or similar).
• Experience with AI Evaluation Frameworks — designing and running evals, using tooling such as Langfuse, LangSmith, Arize, or comparable platforms for monitoring, tracing, and quality assessment.
• Practical data and infrastructure knowledge: Postgres/MySQL, MongoDB, Redis/Memcached, Kafka, Nginx, Docker.
• Working familiarity with React and modern frontend workflows.
• Strong engineering fundamentals: testing, code quality, CI/CD, and debugging complex distributed systems.

Nice to Have

AI Tooling & Evaluation

• Experience with LangSmith, Langfuse, Weights & Biases, prompt management systems, and evaluation frameworks.

Memory & Retrieval Systems

• Experience with vector and graph databases such as pgvector, Pinecone, Weaviate, Neo4j, or similar.
• Deep understanding of retrieval optimization, hybrid search, and context-window management.

Model Orchestration & Infrastructure

• Experience hosting and serving open-source models alongside commercial APIs such as OpenAI and Anthropic.
• Familiarity with embeddings pipelines, AI safety tooling, and guardrail frameworks.

Startup Mindset

• Experience building products from 0→1.
• Strong product intuition and customer-centric thinking.

Why Wingify

Build at the Frontier

Work on production-grade AI systems that solve meaningful customer problems and redefine how experimentation and optimization are done.

High Ownership, Fast Execution

Operate with startup agility inside a successful global SaaS company. Own problems end-to-end and see your work reach customers quickly.

Growth & Learning

Work alongside experienced engineers and product leaders while gaining exposure to cutting-edge GenAI technologies and real-world AI deployment challenges.

Exceptional Team

Join a highly collaborative, low-ego engineering culture that values craftsmanship, curiosity, and impact.

Ready to build the future of AI-powered products Apply now and help shape the next generation of GenAI experiences at Wingify.