Senior Software Engineer, AI & Backend

This role is hands-on. You’ll build, deploy, and optimize AI-powered systems - RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, intelligent data processing - and own them end-to-end, from architecture to production reliability to evaluating whether they actually deliver. You’ll work closely with product managers, data scientists, and engineers, and report to the Engineering Director., * Architect and ship AI-driven features - RAG pipelines and agentic workflows that take action across systems with human oversight where it matters.

• Build the backend and infrastructure to run these reliably and at scale, across tens of thousands of IoT devices and low-connectivity environments.
• Define what “good” looks like for our AI systems - holding them to real accuracy and impact standards, not demo performance.
• Own large parts of the system end-to-end, from architecture to production reliability.
• Work closely with product and data science to iterate fast and keep solutions aligned with product vision and real public-health needs., This is a fully remote role, with a preference for candidates based in the time zones from the U.S. Eastern through East Africa (UTC-5 to UTC+3), to align with our primary engineering and product team workflows. Some flexibility in working hours is needed to ensure collaboration across time zones.

Do you have experience in Software engineering?, * Expert-level Python and backend engineering, with a track record of scalable production services.

• Proven, in-production experience with RAG (retrieval, embeddings, vector stores).
• Hands-on experience building agentic systems - multi-step, tool-using AI that takes action, not just chat.
• Strong grasp of the infrastructure to run AI in production reliably at scale (cloud, AWS/GCP).
• Demonstrated experience evaluating AI systems for accuracy and real-world impact, and iterating on results.

Salary is determined by location and local benchmarking. In the US, the range for this position is $125,000-$142,000, with adjustments based on experience and location.

Nexleaf Analytics safeguards public health in low- and middle-income countries. Our remote-temperature monitoring for vaccine cold-chain equipment is operational in over 25 countries, supporting vital health infrastructure where it’s hardest to reach.

Now we’re expanding that impact. Data on medical equipment is becoming widely available, but countries struggle to turn it into action. That’s why we’re building the Connected Clinic - using data to drive transparency, accountability, and better health outcomes, prioritizing local needs and sustainability over donor-driven models.

Your Role

As a Senior Software Engineer, AI & Backend, you’ll design and scale the cloud platform that connects tens of thousands of IoT devices across the globe, many in remote, low-bandwidth environments - and turns their data into AI-driven decision tools used by Ministries of Health, global agencies, and partner NGOs.