Full Stack Engineer III/IV Job IDinsight

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About the Role

• This role sits within IDinsight’s Data Science and Engineering team and is best suited for a hands-on, full-stack engineer who enjoys operating with a high degree of autonomy. You will work closely with data scientists, data engineers, domain experts, and partners to translate analytical and AI capabilities into impactful software products.
• Successful candidates are comfortable working through ambiguity, making pragmatic technical decisions, and owning the full lifecycle of features- from early problem framing and design to deployment and ongoing improvement in live environments. The work spans frontend, backend, and data integrations, with a strong emphasis on building tools that are intuitive, reliable, and loved by users.

Responsibilities

As a full-stack engineer, the day-to-day work may include:

• Understand workflows, decision points, and constraints, and translate them into clear technical requirements to build web products used in social and policy contexts.
• Making thoughtful decisions about application architecture, data flows, integrations, and user-facing behavior to support scalable, production-grade products.
• Design and implement user-facing products such as dashboards, web platforms, and chat-based tools, working across frontend interfaces, backend services, and data integrations.
• Designing and implementing automated data ingestion pipelines that pull from databases, APIs, and external sources, and transform them into reliable, application-ready inputs.
• Integrate analytics or generative AI components into applications to support workflows such as information retrieval, agent-based decision-making, and automations.
• Ship tools to production, monitor usage and performance, debug issues, and refine both frontend and backend based on real-world feedback.
• Work closely with other engineers, product owners, and domain experts to review code, plan releases, and deliver features end-to-end.
• Write blog posts or present on lessons learned.
• Support teammates through formal and informal coaching and collaboration that enables continuous learning and improvement for the team.

Qualifications

Required Technical Qualifications

• Experience of at least 5+ years in software engineering especially web development, with proficiency in Python for building production systems
• Demonstrated ability to test, deploy, and operate user-facing products (such as dashboards, chatbots, or web applications) in production environments
• Strong background in designing and implementing backend services, including APIs, business logic, and data persistence using frameworks like NextJS or FastAPI
• Expertise in modern frontend frameworks (e.g., React or similar)
• Familiarity with cloud infrastructure and deployment workflows (e.g., AWS or GCP, Docker, CI/CD pipelines)
• Experience integrating external systems and APIs, especially foundational Large Language Models, into applications 
• Ability to work directly with clients to scope problem statements, define solution requirements, and deliver end-to-end solutions
• Clear written and verbal communication skills for collaborating with technical and non-technical stakeholders internally and externally

Other required qualifications:

• Proven ability to work independently on ambiguous problems that involve both people and technology
• Experience contributing to shared codebases, libraries, or platform components
• Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
• Deeply passionate about evidence-informed policy, global development and improving lives in disadvantaged populations.
• Ability and interest in sharing knowledge, mentoring others, presenting work and reviewing the work of others.
• Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges.

Preferred Qualifications

 The most competitive applicants will also have experience in one or more of the following:

• Experience living and working in developing country settings.
• Demonstrated ability to secure funding for technology-for-good initiatives, including grants, funded pilots, or innovation challenge awards.
• Experience with AI engineering and evaluations.
• Experience applying data science methods, such as optimization, unsupervised learning, LLMs, or working with specialized data types (e.g., GIS software like QGIS, satellite imagery)

How to Apply

Click here to apply