At Tech9, we are driven by a clear vision—to empower organizations with AI-centered solutions that make them more adaptable, efficient, and future-ready. As a company at the forefront of innovation, we help our clients build exceptional software that not only meets today’s needs but anticipates tomorrow's challenges. Our approach blends cutting-edge AI technology, top-tier talent acquisition, and expert project management to ensure that businesses can scale effectively and deliver high-quality, world-class software on time and within budget.
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If you're excited by the opportunity to work in a fast-paced, innovative environment where scaling and building the future of software is key, we’d love to hear from you. Join us as we work together to redefine the world of software development!
Our client is on a mission to preserve oral genealogical records across Africa. Over the past six years, they've collected more than 2 million interviews, each detailing names across 15+ generations. These records come from villages through knowledge keepers, and they’re transforming how family lineage is documented and authenticated.
To ensure data integrity and prevent fraud, they are now building out a backend system that supports machine learning models for fraud detection—creating infrastructure that makes it difficult to fabricate interviews.
We’re looking for a Senior Backend Engineer who will play a pivotal role in shaping the future of one of the most ambitious genealogical efforts on the planet. This is more than just a backend or MLOps role — it’s an opportunity to bridge the gap between engineering, applied AI, and social impact at scale.
You’ll help lead the charge in deploying and operationalizing machine learning systems that validate and protect millions of oral history records collected across Africa. These systems power fraud detection tools, enforce data authenticity, and pave the way for broader AI adoption across the organization.
You’ll collaborate closely with engineers, data scientists, and leadership to design infrastructure that is robust, scalable, and secure — all while experimenting with new ideas, prototyping creative approaches, and pushing the boundaries of what ML can do in the real world. If you thrive in environments where your ideas matter and your work drives long-term transformation, this is your chance to influence an entire institution toward a smarter, AI-enabled future.
Screening Interview (On-Demand HireVue)
Format: Online assessment where we will gauge your initial qualifications and experience.
Recruiter Q&A
Format: Virtual discussion with our recruiter to address any initial questions and go over the job details.
Round 1: Take-Home Assessment
Format: A take-home assignment to evaluate your creativity and technical skills, particularly in ML and ML deployment
Round 2: Technical Interview with Client
Format: Live technical interview with the Engineering Lead to assess backend fundamentals, engineering hygiene, and overall problem-solving skills.
Round 3: Deep Dive with Leadership
Format: Virtual session with Client and the Group Engineering Manager. This round includes a mix of technical discussion and contextual fit for the mission and work.
Round 4 (if needed): Final Conversations
Format: As needed, this may include follow-ups with other stakeholders or deeper dives into specific areas of your background or technical experience.
Total Interview Time Investment: 4–5 hours
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Originally posted on Himalayas
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