Software Development Engineer - C++/Python - Full Time at Volga Partners | Torre
Software Development Engineer - C++/Python - Full Time
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Software Development Engineer - C++/Python - Full Time

You'll build and scale AI-powered systems, integrating LLMs to transform real-world business operations.
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Full-time

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Compensation
INR19 - 24/year
Unpaid - Unpaid
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Remote (for India residents)
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about 10 hours ago

Requirements and responsibilities


Company: Volga PartnersLocation: Fully Remote (Occasional office visits 1–2 times per year)Compensation: ₹19–₹24 LPA (based on experience)Job Type: Full-timeStart Date: Urgently hiring — must be available to start within 1–2 weeksWork 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 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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