Senior Developer - AI Platform

Accountabilities: The role will focus on designing, developing, and delivering AI-powered application capabilities while ensuring scalability, performance, and reliability across enterprise environments. Key responsibilities include:

Leading the full software development lifecycle, from application design and API development to deployment, monitoring, and optimization.

Building application layers, business logic, and API workflows that connect AI capabilities with data management systems.

Integrating AI agent frameworks and interoperability protocols such as LangChain, MCP, and A2A to support scalable AI applications.

Developing secure and versioned data models that support multi-tenant environments, auditability, governance, and data classification.

Designing and deploying application services across major cloud platforms including AWS, Azure, and Google Cloud, as well as on-premises environments.

Implementing automated CI/CD pipelines and modern deployment practices to ensure consistent delivery.

Optimizing application performance through query optimization, profiling, caching strategies, and proactive security practices.

Designing and maintaining REST and/or gRPC APIs for internal and external consumers.

Applying database expertise to build efficient solutions involving SQL, indexing, transactions, schema design, and advanced relational database capabilities.

Implementing monitoring, logging, tracing, and alerting solutions to ensure production reliability.

Taking ownership of technical decisions, participating in design and code reviews, and mentoring other engineers.

Collaborating with product, engineering, and customer teams in an asynchronous, remote-first environment.

Requirements:

The ideal candidate will have strong software engineering experience with expertise in AI applications, databases, cloud infrastructure, and enterprise-grade systems. Required qualifications and skills include:

5+ years of professional software development experience.

At least 2 years of experience working on data-intensive applications, database-related features, or enterprise software solutions.

Proven experience owning and delivering production features or modules from initial specification through deployment.

Hands-on experience deploying, debugging, and managing application services across at least two major cloud platforms such as AWS, Azure, or Google Cloud.

Strong Python programming skills for AI application development, along with advanced proficiency in another backend language such as Go, Java, or C++.

Experience building or integrating LLM-based applications, AI workflows, agent frameworks, or retrieval-augmented generation (RAG) systems.

Familiarity with AI agent technologies such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.

Strong understanding of relational databases, including SQL, indexing, query optimization, transactions, and schema design.

Experience with vector databases, embedding pipelines, semantic search, or AI data retrieval systems.

Knowledge of temporal data models, event-driven systems, audit logging, or system-versioned data approaches.

Strong understanding of application security principles, including authentication, authorization, RBAC, row-level security, and multi-tenant data isolation.

Experience designing and implementing REST or gRPC APIs.

Familiarity with application monitoring practices, structured logging, distributed tracing, and operational alerting.

Strong communication skills with the ability to collaborate effectively in remote and cross-functional environments.

Preferred qualifications include:

Experience contributing to open-source projects related to databases, AI/ML applications, or developer tooling.

Experience developing MCP servers or integrating A2A protocols into production systems.

Familiarity with AI memory frameworks such as Mem0, Graphiti, or Letta.

Experience with graph databases, semantic caching, Redis, or in-memory data technologies.

Experience deploying applications in regulated, secure, or air-gapped environments.

Knowledge of database application development, temporal SQL, or MySQL-compatible technologies.

Benefits:

Fully remote work opportunity from India.

Opportunity to work on innovative AI and database technologies shaping the future of software development.

High ownership role within a small, senior, and autonomous engineering team.

Collaboration with talented global colleagues across engineering and product teams.

Significant impact on product direction and technical strategy.

Flexible remote-first and async working environment.

Competitive compensation package based on experience and local market conditions.

Paid annual leave and additional holiday benefits.

Continuous learning and professional growth opportunities.

Opportunity to contribute to cutting-edge AI applications used by organizations worldwide.

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. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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