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Location
In office (Kathmandu)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 8, 2026. Verisk scores A on the Alion truth index.

Overview
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Profile match
Verisk Analytics provides data analytics and risk models for the insurance industry. Its catastrophe models, claims data and rating services underpin much of property underwriting. The company also supplies fraud detection and climate risk analytics.

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

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