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?
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?
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?
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?