4 дня назад
Java Full Stack Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Java Full Stack Developer (AI) (Java, Python, AWS, Generative AI): Building full-stack applications, APIs, data pipelines, and AI-agent integration layers for an analytics solution platform with an accent on Java Spring Boot, React, AWS serverless architecture, and DevOps automation. Focus on designing distributed microservices, implementing multi-agent AI workflows, and building monitoring, observability, and CI/CD solutions for AI applications.
Location: Bengaluru, India
Company
is an AI and analytics organization developing analytics solutions and platform components for business units.
What you will do
- Build and develop full-stack applications, platform components, services, and ETLs.
- Develop RESTful, GraphQL, and gRPC APIs with Java Spring Boot, Python, and related technologies.
- Design user interfaces and integration layers for AI agents and operational platforms.
- Develop APIs and data pipelines connecting AI systems with business platforms.
- Implement AWS cloud solutions, infrastructure as code, CI/CD pipelines, and DevOps automation.
- Build monitoring and observability solutions for distributed and AI applications.
Requirements
- 5+ years of experience building full-stack applications across frontend and backend systems.
- Strong experience with Java, Spring Boot, Python, React, modern web frameworks, APIs, microservices, and data layers.
- Experience with AWS architecture and services, including Lambda, ECS, API Gateway, CloudFormation, or CDK.
- Experience with infrastructure as code, CI/CD, DevOps, asynchronous APIs, identity protocols, distributed systems, and event-driven architectures.
- Experience with databases, data modelling, database optimization, unit and integration testing, application security, and role-based authentication.
- Experience integrating generative AI or large language models, AI-assisted development tools, agent architectures, orchestration patterns, and multi-agent systems.
Nice to have
- Experience with Terraform, FastAPI, TypeScript, Kotlin, GraphQL, gRPC, OpenTelemetry, CloudWatch, Datadog, or similar tools.
- Experience with generative AI tools and AI-assisted development workflows.
Culture & Benefits
- Collaborative environment with a focus on customer impact and passion for the work.
- Training and career development opportunities.
- High-performing team environment with opportunities for professional growth.
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