Senior Software Engineer at Weekday AI
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

6000000.0

Posted On

20 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, Spring Boot, AI-driven Application Development, LLM Frameworks, Agentic AI Architectures, Microservices, Vector Databases, Graph Databases, Workflow Orchestration, Distributed Systems, Observability, Cloud Platforms, Containerization, API Development, Semantic Search, Knowledge Retrieval

Industry

technology;Information and Internet

Description
This role is for one of the Weekday's clients Salary range: Rs 3000000 - Rs 6000000 (ie INR 30-60 LPA) Experience: 5+ yrs Location: Bengaluru Job Type: full-time We are looking for a Senior Software Engineer with strong expertise in Java, Spring Boot, and AI-driven application development to build scalable, intelligent backend systems. This role involves designing and developing high-performance services, integrating LLM-powered workflows, implementing agentic AI architectures, and contributing to platform-level technical decisions. You will work closely with cross-functional teams while driving engineering excellence, system reliability, and innovation in AI-native products. Key Responsibilities Design, develop, and optimize scalable Java-based microservices and backend applications. Build and deploy AI-powered workflows using LLM frameworks and agent orchestration patterns. Develop semantic search, knowledge retrieval, and graph-based data solutions using modern database technologies. Implement reliable workflow orchestration and asynchronous processing systems. Lead end-to-end feature development from design, coding, testing, deployment, and production support. Establish observability standards, monitoring, logging, and performance tracking for production systems. Collaborate with architects, product teams, and engineers to define technical solutions and platform strategy. Conduct code reviews, mentor team members, and promote engineering best practices. Improve application performance, scalability, security, and reliability across systems. Contribute to testing strategies and ensure high-quality software delivery. What Makes You a Great Fit 5–7 years of strong software engineering experience with Java and backend development. Hands-on experience with AI/ML technologies, LLM integrations, and intelligent workflow automation. Expertise in building scalable microservices, APIs, and distributed systems. Experience with vector databases, graph databases, and workflow orchestration platforms. Strong understanding of observability, monitoring, logging, and production system management. Familiarity with cloud platforms, containerization, and modern deployment practices. Passion for clean code, quality engineering, and solving complex technical challenges. Excellent problem-solving, communication, and collaboration skills with the ability to mentor and lead technical initiatives.
Responsibilities
Design and optimize scalable Java-based microservices and integrate LLM-powered workflows and agentic AI architectures. Lead end-to-end feature development while establishing observability standards and mentoring team members.
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