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 achieve.Are you a fit?Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.Key ResponsibilitiesAgent 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 Skills5+ 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 rewardsHealth benefits & wellness programsSavings & retirement plansGlobal mobility opportunitiesFlexible work policy and remote-friendly approachHappy hours, gaming tournaments, sports activities & moreContinuous learning & training programs with WizeAcademyFree certifications in cloud technologies and coding languagesFind out more about our culture here.
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