Junior GenAI Developer
Tasks
- Build ingestion chunking embedding retrieval workflows
- Collaborate on GenAI POCs to production
- Create agent workflows with tool calling
- Debug hallucinations and retrieval failures
- Develop Python services and APIs
- Implement rag pipelines
- Implement vector database and hybrid search
- Integrate LLMs with backend services
- Write testable, maintainable code
Perks/Benefits
- Certification programs
- Health insurance
- Internal mobility
- Internship opportunities
- Language courses
- Mentorship
- Professional development
- Relocation program
- Work from anywhere
Skills/Tech-stack
AWS | Agent workflows | Amazon Bedrock | Anthropic APIs | Chroma | Embeddings | Evaluation metrics | Faiss | Git | Hybrid search | Langchain | Langgraph | Language Models | Large Language Models | OpenAI APIs | OpenSearch | Pinecone | Prompt Injection security | Prompt injection | Python | RAG Evaluation Metrics | RAG evaluation | REST APIs | Retrieval-Augmented Generation | Testing | Tool-Calling | Vector Databases | Vector Search
Education
N/A
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