Lead Engineer, Gen AI – Python, FAST API

Verisk

. Design, develop, and deploy Generative AI applications using Large Language Models and modern AI frameworks .

Posted 10/5/2026full-timeHyderabad • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying Generative AI applications using Large Language Models, with strong proficiency in Python frameworks for backend development and REST API integration. Capable of optimizing AI systems for performance and collaborating effectively across teams in agile environments.

Highest-signal resume keywords

Generative AI Application DevelopmentPython ProgrammingREST API DevelopmentAWS Cloud ServicesVector Database Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIFlaskDjangoRAG ConceptsSemantic SearchVector DatabasesPrompt EngineeringUnit TestingCI/CD

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

AWSOpenAIAnthropicHugging FacePineconeOpenSearch

Industry Keywords

AI/MLNLPAgile DevelopmentSoftware Engineering Best Practices

Tech Stack

Tools & technologies

AWSCloudDjangoFlaskPython

About the role

Key responsibilities & impact

Design, develop, and deploy Generative AI applications using Large Language Models and modern AI frameworks
Build and maintain scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django
Implement RAG pipelines and semantic search solutions using vector databases
Integrate commercial and open-source LLMs into enterprise applications
Develop prompt engineering workflows and support AI model evaluation and optimization
Deploy and support AI applications on AWS cloud platforms
Troubleshoot and optimize AI systems for latency, reliability, scalability, and cost efficiency
Collaborate with cross-functional teams across onshore and offshore locations
Write clean, maintainable, and testable code following software engineering best practices
Participate in code reviews, unit testing, integration testing, and CI/CD processes
Stay updated on emerging trends and technologies in Generative AI and applied machine learning

Requirements

What you’ll need

5 years of experience in software engineering, AI/ML, or related technical roles
Strong hands-on programming skills in Python
Experience building backend applications and REST APIs using FastAPI, Flask, or Django
Practical experience working with Generative AI or LLM-based applications
Understanding of Retrieval-Augmented Generation (RAG) concepts and semantic search
Experience with vector databases such as Pinecone, OpenSearch, or similar technologies
Experience integrating AI models or services such as OpenAI, Anthropic, AWS Bedrock, Hugging Face, or open-source LLMs
Experience with AWS cloud services and deploying applications in cloud environments
Understanding of unit testing, integration testing, Git/version control, and CI/CD workflows
Strong debugging, analytical, and problem-solving skills
Good communication and collaboration skills
Experience with prompt optimization and AI evaluation techniques
Exposure to NLP
Understanding of design patterns and scalable application architecture
Experience working in agile development environments

Benefits

Comp & perks

Short-term incentive eligibility
Equal opportunity employment
People-first, inclusive workplace culture
Growth and professional development opportunities
Recognition as a Great Place to Work® organization