Software Engineer II – Python and Generative AI

Verisk Analytics — Nepal · Posted ~7 hours ago

Mid

Skills

Python Backend Development RESTful APIs Production-Grade Software Development Large Language Models Generative AI Integration AI API Integration Clean Code Data Pipelines FastAPI Flask Django REST APIs LLMs Generative AI OpenAI API Anthropic API Azure OpenAI

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Summary ✨ AI‑Generated

A technology-driven organization is seeking a mid-level software engineer with strong Python backend skills and practical experience in generative AI. You will design and maintain RESTful services, build data pipelines, integrate large language models and AI APIs, and deliver production-ready features while exploring modern AI development approaches.

Highlights

Work at the intersection of backend engineering and emerging AI technologies. Build production-grade services, integrate generative AI capabilities into real products, and collaborate in an environment that encourages learning, experimentation, and professional growth.

Description

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. Responsibilities 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 workflowsWork with vector databases and embeddings (e.g., pgvector, FAISS, Pinecone, or similar) to power search and retrieval use casesWrite clean, well-tested, and maintainable code, and participate in regular code reviewsCollaborate with product managers, architects, and senior engineers to translate requirements into technical solutionsOwn data processing, automation scripts, and integration pipelines end-to-endParticipate in the full software development lifecycle within an Agile environmentTroubleshoot production issues, perform root-cause analysis, and drive performance and reliability improvementsStay curious and proactively evaluate and adopt new AI/GenAI tools, frameworks, and best practicesDocument technical work clearly for both technical and non-technical stakeholders Qualifications Bachelor’s degree in computer science, Engineering, or a related field2.5+ years of professional experience in software development, with Python as a primary languageStrong understanding of object-oriented programming, data structures, and algorithmsProven 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 projectsPractical experience with prompt engineering, embeddings, and RAG-based architectureProficiency in SQL and relational database conceptsExperience writing automated unit tests and ensuring code qualityStrong experience with Git and collaborative version control workflowsFamiliarity with Agile methodologies and tools such as JiraSolid problem-solving skills and the ability to work independently with minimal supervision About Us Our People, Our Culture For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world. Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond. Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments. Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture Let’s build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice