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Senior Software Engineer- BE

  • Source: LinkedIn
  • Weekday AI (YC W21)
  • $36,356.08 to $51,937.26 /yr
  • On-site
  • Bengaluru
  • Full-Time
  • Senior

Job 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

Skills

  • Java
  • spring
  • spring-boot
  • Kafka
  • guardrails
  • mysql
  • MongoDB
  • amazon-web-services
  • LangChain
  • LangGraph
  • LlamaIndex
  • crewai
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