• 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