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 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 languages
Find out more about our culture here.