Software Development Engineer- C++/Python - Full Time

Volga Partners

United States

Remote

USD 20,000 - 26,000

Full time

14 days+

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Job summary

Volga Partners is seeking a Software Development Engineer with strong Python backend expertise and AI/LLM experience. You will build and maintain production-grade AI-powered systems, integrating large language models into real-world workflows across backend services and data pipelines.

The role requires problem-solving at scale, system design skills, and the ability to operate in fast-evolving AI environments while collaborating with USA Pacific Time teams.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Open to working in fast-evolving AI environments.
  • Experience building production AI-powered backend systems.

Responsibilities

  • Build and maintain Python backend services for AI-powered applications.
  • Integrate LLM APIs into production workflows with prompts and retries.
  • Design scalable REST APIs, async workflows, and background jobs.
  • Work across multi-language codebases and data pipelines.
  • Prototype and implement prompt management, model routing, and validation.

Skills

Python backend
Backend system design
API development
Async workflows
Debugging
AI systems

Education

Bachelor's in CS

Tools

Azure DevOps
Git
Docker
Terraform
SQL Server
Elastic Stack
Postman
Swagger
AWS
Azure

Job description

Company: the companyLocation: Fully Remote (Occasional office visits 1–2 times per year)Compensation: ₹19–₹24 LPA (based on experience)Job Type: Full-timeStart Date: Urgently hiring — must be available to start within 1–2 weeksWork Hours: 8:00 AM – 5:00 PM IST or 9:00 AM – 6:00 PM IST with overlapping Meetings in PST(Collaboration with USA Pacific Time teams)

About the Role

the company 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.
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

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