Software Development Engineer - (Temporary)

# Software Development Engineer - (Temporary)

> Volga Partners · India (Remote) · Temporary · Posted 2026-07-03

**Salary:** INR 19–24

**Workplace:** remote

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

## Description

**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

## Apply
[Apply at Volga Partners](https://apply.workable.com/volga-partners/j/0D45AE38FB/apply)
---
Powered by [Workable](https://www.workable.com)