Senior Software Engineer

# Senior Software Engineer
> Weekday AI · Bengaluru, India · Full-time · Posted 2026-07-18
**Salary:** INR 3,500,000–5,000,000
**Workplace:** on_site
**Department:** Weekday's Client via platform
## Description
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟱-𝟱𝟬 𝗟𝗣𝗔)
Experience: 5+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are seeking a highly skilled **Senior Software Engineer – Backend** to design, build, and scale next-generation AI platform services that power enterprise-grade intelligent applications. This role is ideal for engineers with strong expertise in **Java, cloud-native microservices, distributed systems, and AI platform architecture**, along with hands-on experience integrating Large Language Models (LLMs), agent orchestration frameworks, and modern backend technologies.

As a senior member of the engineering team, you will own the development of scalable backend services, AI gateways, and orchestration frameworks while collaborating with cross-functional teams to deliver secure, reliable, and high-performance solutions. The role demands strong technical leadership, excellent problem-solving skills, and a passion for building production-ready AI-powered platforms.

## Requirements

### Key Responsibilities

• Design, develop, and maintain production-grade backend services for AI platforms, including LLM gateways, model integration services, and agent orchestration frameworks.
• Build scalable cloud-native microservices using Java, Spring Boot, Kafka, and modern distributed system design principles.
• Architect and implement AI gateway capabilities such as multi-provider model routing, intelligent failover, token management, cost optimization, request logging, and observability.
• Develop infrastructure supporting Model Context Protocol (MCP), tool integration, and intelligent agent workflows.
• Design and implement multi-step AI reasoning workflows, tool orchestration, guardrails, and human-in-the-loop processes for enterprise AI applications.
• Take end-to-end ownership of critical backend components, ensuring scalability, security, reliability, and maintainability.
• Diagnose and resolve complex performance bottlenecks across backend services, AI inference layers, and distributed architectures.
• Collaborate with Product, AI/ML, QA, UX, and Engineering teams to design and deliver high-quality software solutions.
• Mentor junior engineers through technical guidance, code reviews, architecture discussions, and engineering best practices.
• Promote software quality through clean code, automated testing, performance optimization, and continuous improvement initiatives.

### What Makes You a Great Fit

• 5+ years of professional experience in **backend software engineering** with strong expertise in **Java** and object-oriented programming.
• Proven experience building and scaling **cloud-native microservices** and enterprise backend applications using **Spring Boot**, Kafka, and distributed architectures.
• Strong understanding of relational and NoSQL databases, including **MySQL**, **MongoDB**, and modern data management practices.
• Experience developing enterprise-scale applications with strong knowledge of performance tuning, debugging, monitoring, and backend optimization.
• Hands-on experience with cloud platforms such as **AWS** and familiarity with observability tools, logging frameworks, and monitoring solutions.
• Solid understanding of **Large Language Models (LLMs)**, AI platform architecture, and intelligent application development.
• Experience or strong knowledge of **Model Context Protocol (MCP)**, AI gateways, multi-model routing, semantic caching, and AI service orchestration.
• Familiarity with agentic AI frameworks such as **LangChain**, **LangGraph**, **LlamaIndex**, **CrewAI**, **OpenAI Agents SDK**, or similar orchestration technologies.
• Understanding of AI observability, evaluation techniques, prompt execution monitoring, AI safety practices, content filtering, and hallucination mitigation.
• Excellent analytical thinking, communication, mentoring, and collaboration skills with the ability to thrive in a fast-paced engineering environment while delivering high-quality, production-ready solutions.

## Apply
[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/6C9BFA4926/apply)
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