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
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