Related skills
python pyspark langchain genai llm📋 Description
- Design, code, and implement AI agents and copilots
- Integrate AI agents with enterprise data via REST APIs
- Build Retrieval-Augmented Generation pipelines
- Craft prompts to guide agent behavior and safety
- Full lifecycle development from concept to deployment
- Collaborate with engineers and product managers
- Troubleshoot agent performance and integration issues
- Work with analytics, product, and engineering teams
- Participate in architecture reviews and iterative development
🎯 Requirements
- Bachelor's degree in CS or related field
- 2-4 years of software development experience
- Proficient in Python and OO principles
- 1+ year building apps with LLMs
- Knowledge of prompt engineering, embeddings, function calls
- Experience consuming REST APIs
- Able to learn quickly and solve problems
- API experience with Gemini/OpenAI or Copilot Studio/Azure OpenAI
- Familiar with LangChain, LlamaIndex, or semantic kernel
- Cloud experience with Vertex AI or Azure
- Knowledge of vector stores like Pinecone, Chroma, Weaviate
- Basic CI/CD and Docker understanding
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