Software Engineer - AI Platform in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - AI Platform based in India.

Join a small, senior, and highly autonomous engineering team building next-generation AI capabilities for data-intensive applications.
This role sits at the intersection of AI applications, relational databases, APIs, and enterprise software.
You’ll own features end-to-end, from architecture and application logic through deployment, monitoring, and optimization.
You’ll work with modern AI agent frameworks, interoperability protocols, vector search, and retrieval-augmented generation systems.
The environment is remote-first and async-by-default, with a strong emphasis on written communication and clear technical ownership.
You’ll have direct visibility into product and engineering decisions while working on systems designed for cloud and on-premises environments.
The role offers significant technical impact for engineers who enjoy solving complex problems and shipping production-ready solutions.

• Own the full software development lifecycle, including application design, API development, implementation, deployment, monitoring, and ongoing improvements.
• Build application services and business logic that connect AI capabilities with relational database operations and enterprise data workflows.
• Integrate AI agent frameworks such as LangChain and modern interoperability protocols such as MCP and A2A into production applications.
• Design secure, versioned data models supporting multi-tenant isolation, auditability, data classification, and reliable data management.
• Develop and maintain services that operate consistently across AWS, Azure, GCP, and on-premises environments using automated CI/CD pipelines.
• Improve application performance through SQL and query optimization, profiling, caching, security practices, and feature-level performance targets.
• Design and implement REST and/or gRPC APIs for external consumers and frontend applications.
• Establish effective observability through structured logging, distributed tracing, monitoring, and functional alerting.
• Participate in technical design and code reviews, mentor teammates, and make pragmatic engineering decisions within an async-first environment.
• Maintain end-to-end ownership of meaningful system components while collaborating directly with product stakeholders and customers.

• 5+ years of professional software development experience, including at least 2 years working with data-intensive applications, database-adjacent functionality, or enterprise software.
• Proven experience taking substantial production features from functional specification through implementation, deployment, and ongoing operation.
• Hands-on experience deploying, debugging, and managing application services across at least two major public cloud platforms, such as AWS, Azure, or GCP.
• Experience building or integrating vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems.
• Practical experience developing LLM-powered applications or workflows using agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.
• Strong Python skills for AI application development, combined with deep proficiency in a backend language such as Go, Java, or C++.
• Strong relational database expertise, including complex SQL, schema design, indexing, transactions, and query optimization.
• Experience with temporal data models, event-driven tracking, audit logging, or system-versioned tables.
• Solid understanding of application security, including authentication, authorization, RBAC, row-level security, and multi-tenant isolation.
• Familiarity with modern observability practices and tools, including structured logging and OpenTelemetry-based distributed tracing.
• Experience designing and implementing production REST and/or gRPC APIs.
• Experience with open-source projects in database, AI/ML application, or agent-tooling ecosystems is a plus.
• Additional experience with MCP servers, A2A protocols, agent memory frameworks, graph databases, semantic caching, or Redis is advantageous.
• Familiarity with packaging applications for on-premises or air-gapped environments, particularly regulated infrastructure, is beneficial.
• Strong written communication, independent decision-making, collaboration skills, and an ownership-oriented mindset are essential for success in a small, distributed team.

• Remote-first position available across India.
• Highly autonomous environment with meaningful end-to-end ownership and direct technical impact.
• Opportunity to work on cutting-edge AI application development, agent frameworks, database technologies, and enterprise data systems.
• Exposure to multi-cloud and on-premises deployment environments.
• Collaboration with experienced colleagues across international teams.
• Strong opportunities for technical learning, professional growth, and hands-on experimentation.
• Flexible, async-first working culture with an emphasis on written communication and focused execution.
• Competitive compensation aligned with local market and compensation structures.
• 25 days of paid annual leave plus applicable holidays.
• Inclusive workplace that values diverse experiences, perspectives, and contributions.