Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.
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
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