Software Development Engineer

Volga Partners; Deutschland; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Remote-first culture

Global collaboration on AI systems

Real-world LLM applications at scale

High ownership, fast-moving growth

Job summary

Volga Partners is urgently hiring a Software Development Engineer to design and maintain production-grade AI-powered backend systems. You will integrate LLM APIs, build scalable REST APIs, and ensure robust data pipelines while collaborating with USA Pacific Time teams.

Remote-first with occasional in-person visits supports a global engineering effort. We seek 3+ years of Python production experience, strong backend design skills, and the ability to work across multi-language codebases.

Qualifications

• 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.

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.

Skills

Python backend

LLM integration

API development

Async workflows

Data pipelines

Prompt management

Model routing

Response validation

Failure handling

Distributed systems

Telemetry

Automation

Education

Bachelor's degree in Computer Science

Tools

Azure DevOps

Git

Docker

Terraform

SQL Server

Elastic Stack

Postman

Swagger

AWS

Azure

Job description

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?

• 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?