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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying Generative AI applications using LLMs, 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.
Highest-signal resume keywords
Generative AI Application DevelopmentPython ProgrammingBackend Development with FastAPI, Flask, or DjangoAWS Cloud Services DeploymentRAG Pipeline Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonREST API DevelopmentGenerative AIRAG ConceptsVector DatabasesAI Model IntegrationPrompt EngineeringUnit TestingIntegration TestingCI/CD Workflows
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills
Tools & Technologies
FastAPIFlaskDjangoAWSPineconeOpenSearchOpenAIAnthropicHugging Face
Industry Keywords
AI/MLNLPSoftware EngineeringEmerging TechnologiesMachine Learning
Tech Stack
Tools & technologiesAWSCloudDjangoFlaskPython
About the role
Key responsibilities & impact- Design, develop, and deploy Generative AI applications using LLMs 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- 8 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 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
- Minimum hiring age of 18, except where a higher legal age applies
Benefits
Comp & perks- Short Term Incentive: Yes
- Hybrid work arrangement
- Equal opportunity employment
- People-first culture
- Growth and professional development opportunities
- Work on meaningful, AI-powered solutions in the global insurance industry