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At Aleph, the best solutions start with understanding people deeply. We're a global team of researchers, strategists, designers, and technologists who help organisations—particularly in public sector, healthcare, and regulated industries—make decisions grounded in real human needs. We are seeking a highly skilled AI Data Engineer to support the delivery of data, analytics, automation and AI-enabled capabilities for internal enterprise platforms. You will work across business, technology and delivery teams to design, build, integrate and document practical solutions that are secure, explainable, maintainable and aligned with enterprise standards. Key Responsibilities Design and develop data-driven, analytics-based, automation or AI-enabled solution components. Build backend services, data pipelines, APIs, integration logic and reusable technical components. Integrate solutions with existing dashboards, internal platforms, workflow tools and approval processes. Work with structured and unstructured data from approved internal sources. Produce explainable outputs such as recommendations, benchmarks, variance indicators, exception flags, summaries or supporting rationale. Implement appropriate logging, traceability, auditability and human review controls. Support requirement clarification, solution design, development, testing, SIT, UAT and production readiness. Work closely with business SMEs, product owners, technology teams and delivery stakeholders. Prepare technical documentation, data mapping, test evidence, deployment notes and handover materials. Ensure delivered components are secure, scalable, reusable and supportable. Prerequisites Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies), or a relevant equivalent discipline. Strong hands-on experience in Python. Hands-on experience in software engineering, data engineering, analytics engineering, AI engineering or intelligent automation Working knowledge of one or more additional programming, scripting or query languages. Experience building backend services, APIs, data pipelines, workflow integrations or platform components. Good understanding of data modelling, data transformation, data validation and system integration. Experience working with enterprise applications, dashboards, reporting platforms, workflow systems or internal web applications. Ability to translate business requirements into practical technical designs and working solutions Experience producing explainable insights, recommendations, exception analysis or decision-support outputs. Familiarity with enterprise data sources such as workflow tools, delivery platforms, code repositories, reporting databases, document repositories or file based ingestion. Good understanding of Agile, Waterfall or hybrid software delivery environments. Experience supporting testing, defect resolution, deployment and production readiness. Strong documentation, stakeholder communication and problem-solving skills. Benefits Competitive salary (compensation will be based on experience) Medical insurance A solid team behind you: great people who love what they do A culture which promotes learning and knowledge sharing Opportunities for personal and professional growth offerings. Get in touch Please visit www.aleph-labs.com or drop us an email at *email_hidden* . Aleph is an equal opportunity employer and we work in an engaging, collaborative environment, where ideas are shared freely.
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.
