Job description
Staff AI Engineer
We 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 achieve
Are 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 handle millions 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 languages
Find out more about our culture here.
