Staff AI EngineerWe are:
Wizeline, a global AI-centric technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.With the right people and the right ideas, there’s no limit to what we can achieveAre you a fit?Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.Key Responsibilities- Agent design & delivery:
Translate business goals into deterministic, guard-railed conversational workflows;
ship agents that handlemillions of user interactions with high CSAT and low latency.- Full Agent Development Life-Cycle:
Own scoping, design, implementation, automated evaluation/regression testing, deployment, rollout, monitoring, and iterative tuning.- Tool & data integration:
Connect agents to enterprise APIs, vector/RAG knowledge bases, event streams, and internal micro-services so they can act, not just chat.- LLM orchestration & planning:
Implement multi-model pipelines (e.G., comprehension → planning → critique → response) using frameworks such as OpenAI Function Calling, LangChain/LangGraph, or similar.- Trust, safety, and compliance:
Implement multi-layer guardrails (rules + supervisor models), PII detection/masking, credential vaulting, and auditable traces that satisfy SOC 2 / GDPR-class requirements.- Continuous Optimisation:
Inspect reasoning traces, analyse failure modes, improve prompts/skills/knowledge, and raise autonomous resolution rates week over week.- Cross-functional collaboration:
Work closely with client PMs, CX leaders, and non-technical stakeholders;
explain AI trade-offs clearly and gather feedback to shape roadmaps.Must-have Skills- 5 + years software engineering in production environments (TypeScript/Node, Go, or Python) with strong API design, testing, and debugging habits.- Hands-on LLM experience (GPT, Claude, Gemini, or fine-tuned OSS models):
prompt engineering, function/tool calling, model selection, and evaluation.- Retrieval-Augmented Generation (RAG):
designing embedding pipelines and semantic search with Pinecone, Weaviate, etc.- Agent orchestration expertise:
LangChain/LangGraph, OpenAI Agents SDK, CrewAI, or equivalent frameworks for tool-augmented reasoning loops.- ML-/DevOps literacy:
containerisation, CI/CD, GPU/AI infra, caching, automated evals for nondeterministic systems.- Experience enforcing security guardrails & PII protection in user-facing AI products.Nice-to-have:
- Real-time/voice agent delivery (e.G., SSE or WebSockets).- Familiarity with emerging multi-agent protocols (MCP, A2A) or supervisor/critique agent patterns.- Domain experience in e-commerce, fintech, telecom, or large-scale customer support.- Prior work with automated prompt/agent regression testing frameworks.What we offer:
- Competitive compensation & total rewards- Health benefits & wellness programs- Savings & retirement plans- Global mobility opportunities- Flexible work policy and remote-friendly approach- Happy hours, gaming tournaments, sports activities & more- Continuous learning & training programs with WizeAcademy- Free certifications in cloud technologies and coding languagesFind out more about our culture here.