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软件开发工程师 - C++/Python 全职

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

AI开发工程限定地区(需当地身份)
公司Volga Partners
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间7 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

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
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 with overlapping Meetings in PST
(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

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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