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You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful. When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: The AI Developer is responsible for building, integrating, and optimizing AI and machine‑learning solutions that enhance business applications and workflows. The role focuses on developing AI features using modern frameworks, implementing GenAI/RAG components, and ensuring solutions are secure, scalable, and aligned with product requirements. Key responsibilities Develop solutions to support business initiatives, automation workflows, and GenAI/RAG components using modern AI frameworks. Build and integrate APIs, data processing pipelines, and cloud‑based AI services. Collaborate with product owners and engineering teams to translate requirements into functional AI solutions. Optimize model performance, reliability, and cost through testing, tuning, and monitoring. Ensure AI solutions follow security, quality, and deployment standards across environments. Preferred skills Hands-on experience in Python and Java Familiarity with REST APIs and frameworks such as FastAPI , Flask , or similar technologies Experience with LLM frameworks including LangChain , LangGraph , and n8n . Knowledge of databases such as PostgreSQL and Cosmos DB Practical experience with AWS cloud services , especially SageMaker and Bedrock Strong knowledge of containerization and orchestration tools such as Docker, Kubernetes Qualifications Bachelor’s degree in Information Technology, Computer Science, or related fields. Over 6 years of working experience. At least 2+ years of experience in machine learning or AI, with a minimum of 1 year focused on generative AI technologies. Proven hands-on experience with Large Language Models (e.g., Claude, Nova Pro, Qwen) and applications of Generative AI. Expertise in prompt engineering with a track record of developing effective strategies. Excellent interpersonal and communication skills, with the ability to collaborate effectively across teams. Responsibilities Core Delivery & Execution Design, develop, test, and deploy software applications and system components. Implement solutions that meet business, functional, and technical requirements. Write clean, maintainable, and well‑documented code following coding standards. Perform code reviews to ensure quality, consistency, and adherence to best practices. Conduct unit, integration, and regression testing. Troubleshoot, debug, and resolve technical issues across environments. Quality & Compliance Ensure all deliverables meet security, performance, and reliability standards. Maintain compliance with architectural guidelines, governance frameworks, and technical standards. Apply secure coding practices and support vulnerability remediation. Supporting auditability and traceability of technical changes through proper version control and documentation. Collaboration & Communication Work closely with product owners, architects, QA, DevOps, and business stakeholders. Provide technical input during requirement refinement and solution design. Participate in agile ceremonies (stand‑ups, sprint planning, retrospectives). Contribute to knowledge-sharing via documentation, wikis, playbooks, demos, and internal sessions.
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.