Software Development Engineer - (Temporary)

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 Originally posted on Himalayas