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Software Development Engineer - AI / LLM Systems (Python Backend) at Volga Partners. Company: . Volga Partners . Location: . Fully Remote (Occasional office visits 1–2 times/year) . C. ompensation:.  ₹23–₹30 LPA (based on experience) . J. ob Type: . Full-time . Start Date:.  Urgently hiring — must be available to start within 1–2 weeks . Work Hours: . 8 AM – 5 PM IST or 9 AM – 6 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 . Company Location: India.