Software Development Engineer - (Temporary)
# Software Development Engineer - (Temporary) **Volga Partners** · India · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Software-Engineer]` `[Backend-Engineer]` `[Python-Developer]` `[AI-Engineer]` `[LLM-Engineer]` `[Software-Developer]` `[Intermediate-Software-Development-Engineer]` `[Software-Engineer-Developer]` `[Associate-Software-Engineer]` --- ### About the Role 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
- Software-Engineer
- Backend-Engineer
- Python-Developer
- AI-Engineer
- LLM-Engineer
- Software-Developer
- Intermediate-Software-Development-Engineer
- Software-Engineer-Developer
- Associate-Software-Engineer
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).