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

🏢 Volga Partners · all Volga Partners jobs
📍 India
📅 Posted 2026-07-05 · via Himalayas
🏷 Software-Engineer,Backend-Engineering,AI-Engineering,Python-Development,Senior-C++-Software-Engineer,Senior-Python-Software-Engineer,Senior-Software-Engineer-C++,LLM-Integrations
Apply on original site ↗

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
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 with overlapping Meetings in PST
(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 scalabl

← All remote jobs