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Generative AI Engineer, Freshers 2026/27
Digitals AI. Develop and integrate Generative AI applications using LLMs and modern AI frameworks .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and integrating Generative AI applications using LLMs and modern AI frameworks, with strong proficiency in Python programming and backend service development. Capable of implementing AI solutions, collaborating effectively with cross-functional teams, and optimizing application performance.
Highest-signal resume keywords
Python ProgrammingGenerative AI DevelopmentREST API DevelopmentAWS Cloud InfrastructureAI Frameworks Integration
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIFlaskDjangoLLMsNLPMachine LearningData StructuresPrompt EngineeringPerformance Optimization
Soft Skills
Analytical SkillsCommunication SkillsTeamwork SkillsProblem-Solving SkillsPassion for Learning
Tools & Technologies
OpenAIAnthropic ClaudeGoogle GeminiLangChainLangGraphLlamaIndexGitDatabases
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science
Industry Keywords
Generative AIAI ApplicationsBackend DevelopmentAutomation WorkflowsSemantic SearchVector Database Integrations
Tech Stack
Tools & technologiesAWSCloudDjangoFlaskPython
About the role
Key responsibilities & impact- Develop and integrate Generative AI applications using LLMs and modern AI frameworks
- Build backend services and REST APIs using Python, FastAPI, Flask, or Django
- Develop AI chatbots, intelligent agents, and automation workflows
- Implement RAG pipelines, semantic search, and vector database integrations
- Integrate OpenAI, Anthropic Claude, Google Gemini, and open-source AI models
- Work with LangChain, LangGraph, LlamaIndex, and other AI development frameworks
- Support deployment of AI applications on AWS cloud infrastructure
- Implement prompt engineering, testing, debugging, and performance optimization
- Collaborate with software engineers, product managers, and AI development teams
- Write clean, maintainable, and production-ready code
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or a related discipline
- Freshers, recent graduates, and candidates with up to 3 years of experience are eligible
- Strong fundamentals in Python programming, data structures, and problem-solving
- Basic understanding of Generative AI, LLMs, NLP, and machine learning concepts
- Knowledge of REST APIs and backend development frameworks
- Familiarity with Git, databases, and software development practices
- Good analytical, communication, and teamwork skills
- Passion for learning and building innovative AI applications