Software Development Engineer - (Temporary)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 74d ago
The date the source published, not the day we noticed it (2026-07-03). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 3h ago
The listing
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