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Added
19 days ago
Location
Type
Full time
Salary
Not Specified

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Staff AI Engineer

We are:

Wizeline, a global AI-centric technology solutions provider, develops cutting-edge, AI-powereddigital 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 ofgrowth, collaboration,andimpact.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 canact, not justchat.
  • 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 engineeringin 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 enforcingsecurity guardrails & PII protectionin 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 culturehere.

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