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AI Development · Design, implement and quality assurance on AI-powered applications using LLMs, agent frameworks, RAG pipelines, and embedding models. · Build integrations between AI agents (such as OpenClaw) and enterprise systems (ERP, CRM, document stores, messaging platforms). · Develop APIs, microservices, and automation workflows that expose AI capabilities to customer applications. Model Integration & Optimization · Integrate and benchmark commercial and open-source LLMs for enterprise use cases. · Implement prompt engineering, retrieval augmentation, context window management, and output validation. · Optimize inference latency, throughput, and cost per token across workloads. Quality, Security & Governance · Implement guardrails, content filtering, and human-in-the-loop controls for enterprise deployments. · Ensure data residency, privacy compliance, and audit logging meet customer and regulatory requirements. · Document technical architecture and deployment playbooks for customer and internal use. Job Requirements: · Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred. · 2 years or above of experience in software engineering, MLOps, or AI/ML system development. · Strong programming skills in Python. Experience with TypeScript, Go, or Java is a plus. · Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) and agent frameworks (LangChain, LlamaIndex, or equivalent). · Experience deploying and managing GPU-based workloads. Familiarity with CUDA, container orchestration (Kubernetes, Docker), and cloud infrastructure (AWS, Azure, or on-premise). · Understanding of vector databases, embedding models, and retrieval-augmented generation (RAG) architectures. · Experience with API design, microservices, and event-driven architectures. · Knowledge of monitoring, logging, and CI/CD tooling for production systems. · Strong problem-solving skills and ability to debug complex distributed systems. · Good communication skills in English and Cantonese; Mandarin is a plus. · Ability to work independently and collaboratively in cross-functional teams.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.