Staff AI Engineer
Offer summary
Qualifications:
5+ years of software engineering experience in production environments using TypeScript/Node, Go, or Python., Hands-on experience with large language models (LLMs) including prompt engineering and model evaluation., Knowledge of Retrieval-Augmented Generation (RAG) techniques and semantic search pipelines., Experience with agent orchestration frameworks like LangChain or OpenAI SDK..Key responsibilities:
- Design and deliver conversational AI agents handling millions of interactions.
- Manage the full agent development lifecycle from scoping to iterative tuning.
- Integrate agents with enterprise APIs, knowledge bases, and micro-services.
- Collaborate with cross-functional teams to gather feedback and improve AI solutions.
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
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.
Required profile
Experience
Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory. Hard Skills
Application Programming Interface (API)Multi-Agent SystemsSoftware EngineeringPrompt EngineeringNodes (Networking)Python (Programming Language)Semantic AnalysisAzure OpenAIEvaluation StrategyData LiteracyContainerizationAutomated Testing FrameworkTypeScriptCI/CDDevOpsData CachingCustom AttributesGo (Programming Language)Voice Assistant TechnologyRegression TestingTest AutomationTeleCommunications Engineering
Other Skills
- Collaboration
- Communication
- Problem Solving