Software Engineer II (Python & GenAI)
At a glance
- Salary
- Not published
- Location
- Kathmandu, Nepal
- Work type
- On-site
- Posted
- 3w ago
- Verified live
- today
- Education
- Bachelor's
- Skills
- Hugging FaceRAGPineconepgvectorEmbeddingsAzurePython
- Filed under
- LLM EngineerRAG / Retrieval
How the pay compares
This posting doesn't publish pay. 390 of the 917 RAG / Retrieval roles on this board do: the middle half pay $170k–$254k, with a median of $217k.
Middle half of the 390 that publish payMedian10th–90th percentileAnnual, USD
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Job description
We are looking for a skilled and curious mid-level Python Developer with hands-on experience in AI / Generative AI technologies to join our engineering team. This role is ideal for engineers who can independently build production-grade backend systems while actively working with LLMs, AI APIs, and modern GenAI tooling.
You will work in a collaborative, fast-paced environment, contributing to backend services and data pipelines while actively exploring how Generative AI capabilities can be integrated into real products. This is a great opportunity for someone who enjoys learning quickly, writing clean code, and working at the intersection of traditional software engineering and emerging AI technologies.
- Design, develop, and maintain backend services and RESTful APIs using Python (e.g., FastAPI, Flask, or Django)
- Build and integrate features powered by Large Language Models (LLMs) and Generative AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, or similar)
- Design and implement prompt engineering strategies, retrieval-augmented generation (RAG) pipelines, and agentic workflows
- Work with vector databases and embeddings (e.g., pgvector, FAISS, Pinecone, or similar) to power search and retrieval use cases
- Write clean, well-tested, and maintainable code, and participate in regular code reviews
- Collaborate with product managers, architects, and senior engineers to translate requirements into technical solutions
- Own data processing, automation scripts, and integration pipelines end-to-end
- Participate in the full software development lifecycle within an Agile environment
- Troubleshoot production issues, perform root-cause analysis, and drive performance and reliability improvements
- Stay curious and proactively evaluate and adopt new AI/GenAI tools, frameworks, and best practices
- Document technical work clearly for both technical and non-technical stakeholders
- Bachelor’s degree in computer science, Engineering, or a related field
- 2.5+ years of professional experience in software development, with Python as a primary language
- Strong understanding of object-oriented programming, data structures, and algorithms
- Proven experience designing and building RESTful APIs (e.g., FastAPI, Flask, or Django)
- Hands-on experience working with LLM APIs (OpenAI, Anthropic, Hugging Face, or similar) in production or side projects
- Practical experience with prompt engineering, embeddings, and RAG-based architecture
- Proficiency in SQL and relational database concepts
- Experience writing automated unit tests and ensuring code quality
- Strong experience with Git and collaborative version control workflows
- Familiarity with Agile methodologies and tools such as Jira
- Solid problem-solving skills and the ability to work independently with minimal supervision