# Software Development Engineer - AI / LLM Systems (Python Backend)

> Volga Partners · India (Remote) · Full-time · Posted 2026-07-01

**Salary:** INR 2,300,000–3,000,000

**Workplace:** remote

**Department:** QnA Turing [Software Engineers]

## Description

**Company:** Volga Partners  
**Location:** Fully Remote (Occasional office visits 1–2 times per year)  
**Compensation:** ₹23–₹30 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

## Apply

[Apply at Volga Partners](https://apply.workable.com/volga-partners/j/F588D5A150/apply)

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