Senior Software Engineer - AI Platform

Accountabilities:
As a Senior Software Engineer focused on AI platforms, you will take ownership of designing, developing, and maintaining production-grade systems that integrate AI technologies with advanced data management capabilities. You will collaborate closely with engineering and product teams to deliver secure, scalable, and high-performance solutions while driving technical excellence. Lead the full software development lifecycle, including architecture design, API development, implementation, deployment, monitoring, and continuous improvement of features. Build AI-powered application workflows by integrating agent frameworks, orchestration tools, and interoperability protocols to support scalable enterprise solutions. Develop secure and efficient data models, database-driven applications, and systems supporting multi-tenant environments, auditing, and governance requirements. Design and deploy applications across multiple cloud environments, ensuring reliability and consistency in both cloud and on-premises deployments. Optimize application performance through query optimization, profiling, caching strategies, security best practices, and proactive monitoring. Create and maintain REST and/or gRPC APIs used by internal and external consumers. Participate in technical design reviews, code reviews, and architectural discussions while mentoring other engineers. Contribute to an async-first engineering culture by documenting decisions, sharing knowledge, and driving solutions independently. Requirements: The ideal candidate is an experienced software engineer with strong backend development skills, practical AI application experience, and a passion for building reliable systems. You should have experience working with complex data environments, cloud infrastructure, and modern AI technologies. 5+ years of professional software development experience, including at least 2 years focused on data-intensive applications, enterprise software, or database-related features. Proven experience owning and delivering production-level software features from initial specification through implementation and deployment. Strong proficiency in Python for AI application development and advanced experience with at least one backend language such as Go, Java, or C++. Hands-on experience deploying, debugging, and managing services across major cloud platforms such as AWS, Azure, or Google Cloud. Experience building or integrating AI applications using LLM workflows, agent frameworks, retrieval-augmented generation (RAG), vector databases, or embedding pipelines. Strong understanding of relational databases, including SQL optimization, indexing, transactions, schema design, and database performance. Experience with application security concepts including authentication, authorization, RBAC, and multi-tenant data isolation. Knowledge of observability practices, including structured logging, distributed tracing, monitoring, and alerting systems. Experience designing scalable APIs and service-oriented architectures. Strong problem-solving skills, ownership mindset, and ability to work independently in a remote-first environment. Excellent written and verbal English communication skills. Preferred qualifications include: Experience contributing to open-source projects related to databases, AI applications, or developer tooling. Hands-on experience with MCP servers, A2A protocols, or AI agent interoperability solutions. Familiarity with agent memory frameworks, graph databases, semantic caching, or advanced AI optimization techniques. Experience preparing applications for on-premises, regulated, or air-gapped environments. Knowledge of relational database technologies, temporal data models, or system-versioned tables. Benefits: Fully remote work environment with flexibility and autonomy. Opportunity to work on impactful AI and database technologies used by organizations worldwide. Competitive compensation package aligned with local market conditions. 25 days of paid annual leave, plus applicable holidays. Collaboration with highly skilled colleagues across global teams. Strong opportunities for professional growth and technical development. High ownership culture where engineers directly influence product and engineering decisions. Inclusive workplace focused on diverse perspectives and innovation.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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