Software Development Engineer - (Temporary)

Company: Volga Partners
Location: Fully Remote (Occasional office visits 1–2 times per year)
Compensation: ₹19–₹24 LPA (based on experience)
Job Type: Full-time, Project-Based
Project Duration: Until the end of September 2026
Start Date: Urgently hiring — must be available to start within 1–2 weeks
Work Hours: 8:00 AM – 5:00 PM IST or 9:00 AM – 6:00 PM IST
(Collaboration with USA Pacific Time teams)

About the Role 

Volga Partners is looking for a skilled Software Development Engineer with strong expertise in Python backend systems and AI/LLM applications. 

In this role, you will build and maintain production-grade AI-powered systems, integrating large language models into real-world workflows. You will work across backend services, orchestration layers, and data pipelines—ensuring that AI features are reliable, scalable, and performant. 

This is a hands-on engineering role requiring strong problem-solving, system design, and the ability to operate in fast-evolving AI environments. 

Key Responsibilities 

• Build and maintain backend services and internal tools in Python for AI-powered applications.  

• Integrate LLM APIs into production workflows, including prompt handling, response processing, validation, and retries.  

• Design and implement scalable REST APIs, async workflows, and background job systems.  

• Maintain and enhance components of a multi-language codebase (C#/C++, Python, web technologies) where applicable.  

• Work with structured and unstructured data to prepare inputs, transform outputs, and support downstream systems.  

• Develop systems for prompt management, model routing, response validation, and failure handling.  

• Debug complex issues across backend logic, API integrations, and distributed services.  

• Monitor system performance using telemetry tools and proactively identify and resolve bottlenecks.  

• Automate recurring workflows related to data processing, evaluation, and reporting.  

• Collaborate with cross-functional teams to turn ambiguous product ideas into production-ready features.  

• Contribute to architecture decisions around scalability, performance, and safe use of AI systems.  

• Write clean, testable, and maintainable code while helping establish engineering best practices for AI systems.  

What You Bring 

Education 

• Bachelor’s degree in Computer Science or a related field.  

Experience 

• 3+ years of professional experience in backend or systems engineering.  

• Strong experience in Python development for production systems.  

• Experience integrating LLM APIs or AI-driven services into real applications.  

• Proven ability to work within large codebases and collaborative environments.  

Technical Skillset 

Core Skills 

• Python (strong), backend system design, API development  

• Async workflows, job queues, and service orchestration  

• Debugging across APIs, services, and data pipelines  

Languages 

• Python, C#, C/C++, JavaScript/TypeScript, SQL  

Frameworks & Libraries 

• .NET Web API, ASP.NET (MVC & WebForms), Entity Framework  

• React, Bootstrap, Ajax  

• Testing frameworks (xUnit or similar)  

AI / LLM Systems 

• Prompt design, response parsing, and guardrails  

• Model integration patterns and failure handling  

• Understanding of LLM limitations and production constraints  

Tools & Platforms 

• Azure DevOps, Git, Docker, Terraform  

• SQL Server or similar databases  

• Elastic Stack, Postman, Swagger  

• AWS or Azure cloud environments  

Architecture 

• Microservices, distributed systems, modular architectures  

Operating Systems 

• Windows, Linux  

Build Tools 

• Make, Ninja (preferred)  

Nice to Have 

• Experience with RAG, embeddings, vector databases, or retrieval systems  

• Familiarity with agent workflows or multi-step orchestration  

• Experience with model monitoring, prompt versioning, or evaluation systems  

• Understanding of AI safety, privacy, and secure data handling  

• Exposure to cloud-native deployments and scalable infrastructure  

Why Join Us 

•  Remote-first culture with minimal in-person requirements  

•  Work with global teams on cutting-edge AI systems  

•  Opportunity to build real-world LLM applications at scale  

•  High ownership, fast-moving environment with strong growth potential