FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing GenAI applications using LLMs and integrating AI models into production systems. Proficient in Python, API development, and deploying solutions on cloud platforms.
Highest-signal resume keywords
Python DevelopmentAPI DevelopmentLLM ExperienceNLP KnowledgeGenAI Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAPI DevelopmentLLMsEmbeddingsVector DBsNLPPrompt EngineeringGenAIRAG PipelinesAgent-Based Systems
Tools & Technologies
OpenAILLaMALangChainLlamaIndexFAISSPineconeAzureAWSGCP
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Develop GenAI applications using LLMs (OpenAI, LLaMA, etc.)
- Build RAG pipelines and agent-based systems (LangChain, LlamaIndex)
- Design prompts, optimize outputs, and implement guardrails
- Integrate AI models into APIs and production systems
- Deploy solutions on cloud (Azure/AWS/GCP)
Requirements
What you’ll need- Strong Python + API development
- Experience with LLMs, embeddings, vector DBs (FAISS, Pinecone)
- Knowledge of NLP, prompt engineering, and GenAI frameworks
- Bachelor's Degree
