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At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. AI-First Senior Software Engineer We are seeking a highly skilled Senior Software Engineer – AI-First Development who is passionate about building modern, scalable software while leveraging Artificial Intelligence, including tools like TensorFlow and PyTorch, to dramatically improve engineering productivity. This role emphasizes innovation, collaboration, and continuous learning in a flexible work environment. This is a hands-on engineering role for someone who embraces AI-first software development, automates repetitive engineering tasks, and takes end-to-end ownership of the services they build. The ideal candidate is an expert in Java, Python, Azure, Azure Databricks, Microservices, and modern SDLC practices, with proven experience delivering cloud-native enterprise applications. Beyond technical expertise, we are looking for an engineer who actively uses AI to accelerate software delivery, improve code quality, automate engineering workflows, and increase developer productivity. Collaboration Work closely with architects, product owners, QA, DevOps, and business stakeholders. Collaborate effectively with onsite and offshore engineering teams. Participate in architecture discussions, code reviews, sprint planning, and technical design sessions. Mentor junior and mid-level engineers while promoting engineering excellence and AI adoption. Candidates should demonstrate practical, day-to-day use of AI to improve software engineering productivity. Required Qualifications Solid experience in software development. Strong expertise in Java and Python . Hands-on experience with Microsoft Azure. Strong experience with Azure Databricks, Apache Spark, and Delta Lake. Proven experience designing and developing enterprise-grade microservices and REST APIs. Strong understanding of distributed systems and cloud-native architectures. Experience with Docker, Kubernetes, CI/CD, and DevOps practices. Experience with Git, automated testing frameworks, and Agile software development. Messaging (Kafka / Azure Event Hub / Azure Service Bus). Experience in AI projects , including machine learning, natural language processing, or computer vision is a plus. Excellent analytical, debugging, and problem-solving skills. Advanced/fluent English communication skills. The successful candidate will: • Deliver scalable, high-quality enterprise software with speed and reliability. • Leverage AI to significantly improve engineering productivity and software quality. • Continuously automate repetitive engineering tasks and workflows. • Take full ownership of applications and services from design through production. • Collaborate effectively across onsite and offshore teams. • Mentor fellow engineers and promote engineering excellence. • Continuously evaluate and adopt emerging AI technologies to improve software delivery. If you like it, just apply and good luck! #LI-JM2
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.
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