AI Engineer

This is a fully remote position, open to applicants in Malaysia.

📋 Description

• Assist an external software development organization as a member of Inviso’s delivery team.

• Develop and manage AI functionalities across an enterprise platform.

• Implement agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and quality controls for production.

• Transition AI solutions from prototypes to monitored production environments.

• Rigorously assess AI behavior and establish a discipline for evaluation within delivery processes.

• Collaborate with product and engineering teams to identify where AI can generate significant business value.

• Assist client teams in making well-informed decisions regarding AI capabilities.

• Provide AI functionalities that are beneficial, dependable, quantifiable, secure, and mindful of costs.

⛳️ Requirements

• Proven experience delivering software supported by LLMs, ML models, RAG systems, or agentic workflows to actual production users.

• Background in designing or implementing agent runtime, orchestration, model routing, tool/function calling, or AI workflow patterns.

• Deep understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation methodologies.

• Experience in creating evaluation harnesses, golden sets, regression checks, quality gates, or frameworks for measurable AI performance.

• Capability to prioritize cost, latency, reliability, and safety as essential engineering constraints.

• Experience in establishing guardrails and controls for AI systems, including managing risks associated with untrusted retrieved content, tool output, and failure modes.

• Proficiency in monitoring production AI behavior and enhancing systems based on empirical evidence.

• Strong software engineering expertise.

• Ability to collaborate effectively with backend, platform, product, and security teams.

• Excellent communication and teamwork skills suitable for client-facing consulting scenarios.

• A pragmatic approach focused on delivering business value responsibly.

• Experience with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small/edge models.

• Familiarity with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation.

• Experience with LLM-as-judge methodologies calibrated against human evaluation.

• Background in semantic knowledge management, ontologies, knowledge graphs, or semantic layers.

• Experience with AI development lifecycle practices encompassing data, building, evaluation, deployment, monitoring, and continuous improvement.

• Familiarity with AI-assisted development tools while ensuring adherence to review, testing, and safety standards.

🏝️ Benefits

• Inpatient and outpatient medical care.

• Paid annual leave and public holidays.

• Annual training allowance.

• Competitive, equitable, and flexible compensation package.