[Hiring] Software Development Engineer - AI / LLM Systems @Volga Partners

Role Description

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.

Qualifications

• Bachelor’s degree in Computer Science or a related field.
• 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.
• 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.

Benefits

• 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.