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Lead AI Engineer

jenosize digital group
3-5 Years
Nonthaburi, Pak Kret, Thailand
  • Posted 2 days ago
  • Be among the first 10 applicants

Job Description

Key Responsibilities

  • Agentic AI Architecture
  • Design multi-agent orchestration flows for complex business workflows such as HR operations, sales support, proposal production, customer support, and executive operations.
  • Build planner / deep-agent style systems that can break down goals, assign subtasks, use tools, verify outputs, and escalate to humans when needed.
  • Define agent contracts, tool interfaces, memory strategy, state management, routing, retries, fallback behavior, and human-in-the-loop gates.
  • Translate product goals into maintainable AI system architecture, not one-off demos
  • Engineering Leadership & Delivery
  • Lead engineering execution from prototype to production deployment.
  • Review architecture, code quality, reliability, security, and scalability of AI systems.
  • Make build-vs-buy decisions for frameworks, model providers, vector stores, orchestration layers, evaluation tools, and observability stacks.
  • Mentor engineers on agentic system design, testing, prompt/tool design, and production AI best practices.
  • Evaluation, Reliability & Observability
  • Define measurable quality metrics for AI workflows: task success rate, tool-call accuracy, hallucination rate, escalation rate, latency, cost per task, and user satisfaction.
  • Build evaluation harnesses for agent workflows, including test cases, regression checks, synthetic tasks, and real-work QA loops.
  • Implement logs, traces, state inspection, error classification, cost monitoring, and alerting for AI operations.
  • Design guardrails for privacy, access control, prompt injection, unsafe tool calls, and sensitive company data.
  • Cross-Functional AI Teamwork
  • Work with Product, Design, HR, Sales, CS, and Management to map business workflows into agentic execution plans.
  • Communicate technical trade-offs clearly to both executives and engineers.
  • Help teams understand where AI should act autonomously, where it should assist, and where humans must stay in control.
  • Create reusable playbooks and patterns so future AI teams can build faster.
  • Business Impact & Platform Thinking
  • Tie engineering work to measurable outcomes such as reduced operation time, faster proposal cycles, higher HR response quality, lower support workload, or improved product retention.
  • Design systems that can scale across multiple clients, departments, and use cases without rebuilding from scratch.
  • Manage cost, latency, model selection, and operational risk as first-class product constraints. -
  • Build platform components that become Jenosize's long-term competitive advantage.

Qualifications

  • 3+ years of software engineering experience, with at least 2 years in AI/ML, LLM application development, automation platforms, or distributed systems.
  • Strong backend engineering skills in TypeScript/Node.js, Python, or equivalent production stack.
  • Hands-on experience building LLM applications with tool use, retrieval, function calling, workflow orchestration, or agent frameworks.
  • Strong understanding of API design, queues/background jobs, database design, auth/access control, observability, and cloud deployment.
  • Can design evaluation and monitoring for AI systems, not just rely on manual testing.
  • Able to lead engineers, review architecture, and make decisions under ambiguity.
  • Comfortable communicating with business leaders and non-technical stakeholders

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Ai/Software Engineering
Employment Type:
Full time

Job ID: 151964531

Last Updated: 04-08-2026 06:29:07 PM
Homejobs in NonthaburiLead AI Engineer

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Lead AI Engineer

jenosize digital group
Nonthaburi, Thailand

Skills:

Node.js, Cloud deployment, API design, Typescript, Database Design, Python, background jobs, auth access control, workflow orchestration, tool use, retrieval function calling, agent frameworks, LLM applications, queues, observability

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