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软件开发工程师 - (临时)

雇主

Volga Partners

地点

远程 · Remote · 印度

待遇

₹面议

工作模式

远程

截止日期

1月6日

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岗位摘要

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.

岗位职责

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

申请条件

- 具备Python后端系统开发的扎实经验
- 拥有AI/LLM应用开发的专业知识
- 能够构建和维护生产级AI驱动系统
- 有集成LLM API到生产工作流的经验,包括提示处理、响应处理、验证和重试
- 能够设计和实现可扩展的REST API、异步工作流和后台任务系统
- 熟悉多语言代码库(C#/C++、Python、Web技术)的维护和增强
- 能够处理结构化和非结构化数据,准备输入、转换输出并支持下游系统
- 有开发提示管理、模型路由、响应验证和故障处理系统的经验
- 具备调试后端逻辑、API集成和分布式服务中复杂问题的能力
- 能够使用遥测工具监控系统性能并主动识别和解决瓶颈
- 能够自动化与数据处理、评估和报告相关的重复性工作流
- 具备与跨职能团队协作,将模糊产品想法转化为实际方案的能力
- 强大的问题解决能力和系统设计能力
- 能够在快速演变的AI环境中操作
- 必须能在1-2周内到岗
- 工作时间为IST上午8:00至下午5:00或上午9:00至下午6:00
- 能够与美国太平洋时间团队协作
- 基本远程工作,每年需1-2次到办公室

雇主简介

Volga Partners 是一家提供数据收集和语言服务的企业,专注于为AI和语音技术项目招募参与者并录制对话音频。

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数据来源:Himalayas

岗位信息来源于公开渠道,版权归原作者所有