Senior Software Engineer

Futran Tech Solutions; Pune District; Hybrid; INR 2,000,000 - 3,200,000; Full time

Job summary

Futran Tech Solutions is seeking a Senior Software Engineer (Java + AI) in Pune, hybrid. You will lead backend development with Java/Spring Boot and Python AI integrations, building scalable microservices and production-grade LLM applications.

The role requires 4+ years of experience with focus on LLMs, LangGraph/LangChain, RAG pipelines, and cloud platforms (AWS/Azure). You will mentor teammates and drive architecture reviews and best practices.

Qualifications

• 4+ years of backend Java development experience.
• Strong Python-based AI/ML and data processing skills.
• Experience building production-grade LLM applications and AI integrations.
• Familiarity with LangGraph/LangChain and AI orchestration frameworks.

Responsibilities

• Design, develop, and maintain scalable backend services using Java, Spring Boot, and microservices.
• Develop Python-based AI/ML services, automation scripts, and AI integrations.
• Build and deploy production-grade LLM applications with API integration, prompt engineering, streaming, and cost optimization.
• Implement AI/LLM solutions using LangGraph, LangChain, RAG pipelines.
• Build distributed systems focused on performance, security, and fault tolerance.
• Establish observability with logging, metrics, tracing, monitoring, and alerting.
• Develop and maintain CI/CD pipelines with automated testing and deployment automation.
• Deploy and manage applications on AWS or Azure with managed AI/ML services.
• Contribute to architecture reviews and technical decision-making.
• Mentor junior engineers and set coding, testing, and design standards.
• Collaborate with Product, AI/ML, DevOps, and other teams to deliver high-quality solutions.
• Troubleshoot complex production issues and improve reliability.

Skills

Java

Spring Boot

Microservices

Python

LLM / Generative AI

LangGraph / LangChain / Agentic AI

RAG pipelines / AI orchestration

Distributed systems

Logging, Metrics, Tracing & Alerting

CI/CD, Automated Testing

AWS / Azure

Managed AI/ML cloud services

Technical leadership

Job description

Job Role: Senior Software Engineer Java + AI

Experience: 4+ Years

Location: Pune(Hybrid)

Job Summary

We are looking for a Senior Software Engineer (Java + AI) with strong expertise in Java backend development, Python-based AI/ML, LLM application development, and distributed systems. The ideal candidate will design and develop scalable production-grade applications integrating LLMs, RAG, and agentic AI frameworks, while providing technical leadership and ensuring engineering best practices.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Java, Spring Boot, and Microservices architecture.
• Develop Python-based AI/ML services, automation scripts, and AI integrations.
• Build and deploy production-grade LLM applications, including:
  • LLM API integration
  • Prompt engineering and prompt management
  • Streaming responses
  • Error handling and fallback mechanisms
  • Token/cost optimization and monitoring
• Design and implement AI/LLM solutions using LangGraph, LangChain, RAG pipelines, or similar AI orchestration frameworks.
• Build scalable and reliable distributed systems with focus on performance, availability, security, and fault tolerance.
• Implement strong observability through logging, metrics, distributed tracing, monitoring, and alerting.
• Develop and maintain CI/CD pipelines with automated testing, quality gates, and deployment automation.
• Deploy and manage applications on AWS or Azure cloud platforms, leveraging managed AI/ML services where appropriate.
• Participate in system architecture, design reviews, and technical decision-making.
• Mentor junior and mid-level engineers and establish coding, testing, architecture, and engineering standards.
• Collaborate with Product, AI/ML, DevOps, and other engineering teams to deliver high-quality solutions.
• Troubleshoot complex production issues and continuously improve system reliability and performance.

Must-Have Skills

• Java, Spring Boot, Microservices
• Python
• LLM / Generative AI
• LLM API integration and production deployment
• Prompt management, streaming, error handling, and cost optimization
• LangGraph / LangChain / Agentic AI frameworks
• RAG pipelines / AI orchestration
• Distributed systems and scalable backend architecture
• Logging, Metrics, Tracing & Alerting
• CI/CD, Automated Testing, Quality Gates
• AWS or Azure
• Managed AI/ML cloud services
• Technical leadership, mentoring, and design reviews