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Software Development Engineer- C++/Python - Full Time

Volga Partners · India · posted Jul 3, 2026

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What this role actually asks for

Extracted by RemoteHunt

Must have

  • 3+ years backend/systems engineering experience
  • Strong Python development for production
  • Integrate LLM APIs or AI-driven services
  • Backend system design
  • API development
  • Debugging across APIs, services, data pipelines

Nice to have

  • Experience with RAG, embeddings, vector databases
  • Familiarity with agent workflows
  • Experience with model monitoring
  • Understanding of AI safety/privacy

Tools and technologies

PythonC#C++JavaScriptTypeScriptSQL.NET Web APIASP.NETEntity FrameworkReactBootstrapAjaxxUnitAzure DevOpsGit

Worth checking before you apply

  • office-required

The full posting

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

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