Job Description
About the opportunity
We are on a lookout for a hands-on Senior AI Engineer to join the Vendor Data Team on our journey to always deliver amazing experiences to go beyond prompt engineering into autonomous orchestration: designing agents that generate their own prompts, tools that empower AI with real-world actions, and judge models that validate outputs. Your work won’t sit in research notebooks — it’ll ship.
The Agentic AI team is building the next generation of AI-native products — intelligent systems that reason, act, and adapt. We combine the power of large language models (LLMs), autonomous agents, and retrieval-augmented generation (RAG) to move beyond static prompts and chatbots into dynamic AI systems that solve real problems at scale.
We don’t treat LLMs as tools to micromanage — we treat them as collaborators. Our products are designed to build and evolve themselves, leveraging AI to orchestrate workflows, make decisions, and continuously improve. If you’re ready to stop building brittle bots and start building AI that builds AI — this is your playground.
1. Architect and deploy agent-based systems using LangChain, CrewAI, AutoGen, or custom-built orchestration frameworks
2. Build and optimize RAG pipelines — from smart chunking to embedding strategies and vector search
3. Design self-evolving prompt systems and dynamic decision flows driven by LLMs
4. Develop APIs and services that let models talk to tools, data, and other systems
5. Monitor, evaluate, and automate model feedback loops using AI-based simulation and testing agents
6. Work cross-functionally with product and engineering teams to ship AI-native features, not just prototypes.
Qualifications
7. 2+ years of experience in applied AI/ML engineering with real-world deployments
8. Strong Python skills and experience with frameworks like LangChain, LlamaIndex, or Haystack - Deep knowledge of RAG, LLM mechanics, prompt design, and chaining
9. Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models
10. You take ownership. If something is unclear or blocked, you figure it out or find a way around it.
11. You move fast but don’t cut corners — you care about quality and impact.
12. You believe working code beats perfect plans, and that iteration is the fastest way to clarity.
Nice to have:
13. Open-source model experience (, LLaMA2, Mixtral, Mistral) or custom inference stacks - Judge models, feedback loops, or human-in-the-loop architecture
14. Experience designing test harnesses using agent personas or synthetic users
15. Familiarity with prompt injection mitigation, output validation, or agent safety
16. Background in shipping AI inside real-world web or mobile products