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Benefits of this role: 13th Months Salary (upon Company Declaration) Project Incentive (upon Company Declaration based on project performance) Transport, Meal, Birthday Allowances (upon Confirmation) Sports Activities (Badminton & Basketball), Company Outing Training and certification sponsored by company (Selected employees). Rewards and recognition: Long Service Award / Best Performer Award / Role Model Awards etc Job Responsibilities Continuously monitor and evaluate leading AI vendors, frontier models, and emerging AI technologies, assessing their capabilities, cost, context handling, and agentic performance. Provide clear recommendations on model suitability and adoption. Develop and implement a vendor diversification and resilience strategy by evaluating alternative AI vendors, model routing solutions, and self-hosted LLM options. Establish reliable fallback and switching mechanisms to reduce dependency on a single vendor. Build and maintain internal AI evaluation benchmarks based on real-world codebases and business scenarios to objectively measure and compare model performance. Take ownership of and continuously improve company-wide AI development workflows and best practices, including prompt and context engineering standards, agent configurations, code review and validation processes, and safety guardrails. Define and enforce AI security and compliance standards to prevent source code and sensitive data leakage, mitigate prompt injection risks, establish security review requirements for AI-generated code, and implement appropriate data masking and access controls. Build and maintain internal AI harnesses and developer tooling, including shared configurations, skills and plugins, evaluation scripts, and CI integrations, enabling engineering teams to adopt AI tools efficiently. Document AI development best practices, conduct technical training and knowledge-sharing sessions, and track AI adoption and developer productivity metrics across engineering teams. Job Requirements Minimum 5 years of software engineering experience with strong engineering fundamentals and an architectural mindset. Extensive hands-on experience with agentic coding tools such as Claude Code, Codex, Cursor, or similar tools, with practical knowledge of the strengths and limitations of different frontier AI models. Strong understanding of prompt engineering, context engineering, and model evaluation methodologies, including benchmark design and evaluation harnesses. Strong technical curiosity and self-motivation, with the ability to independently follow developments in the rapidly evolving AI ecosystem, conduct evaluations, and translate findings into actionable recommendations. Good understanding of key LLM and AI application security risks, including data leakage, prompt injection, and supply chain risks associated with AI-generated code, as well as relevant mitigation practices. Excellent written communication and cross-functional collaboration skills, with the ability to establish and drive engineering standards across multiple teams. Nice to Have Experience in LLM application development, AI evaluation frameworks, developer productivity, or platform engineering. Experience with self-hosted LLM deployment, model routing, or AI inference infrastructure. Open-source contributions, technical blogging, public speaking, or other forms of technical knowledge sharing.
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.