Software Engineer - AI Platform
J
JobgetherAI Platform/Enterprise
Remote-first position available across India.Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years of professional software development experience, including at least 2 years working with data-intensive applications.
- Required Skills
- AWSPythonSQLJavaC++GogRPCRESTful APIsLangChain
Requirements
- 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.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
