Gen Ai
Tasks
- Build LLM powered chatbots and assistants
- Collaborate in Agile Scrum sprints
- Deploy AI services with CI CD and Docker
- Design and develop generative AI solutions
- Develop multi-agent AI systems
- Implement rag pipelines
- Ingest documents and build embeddings
- Integrate AI applications via REST APIs
- Orchestrate agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Governance | AWS CodePipeline | Agent architecture | Authentication | Autogen | Best practices | CI/CD | ChromaDB | Claude | CrewAI | Docker | Docker deployment | Efficient Fine Tuning | Faiss | FastAPI | Fine Tuning | Flask | Gemini | GitHub Actions | GitLab CI | GitLab CI/CD | Graph RAG | Human-in-the-loop | JSON | Jenkins | Knowledge graphs | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llama | Llamaindex | MLOps | Mistral | Model Fine-tuning | Multi-Agent | Multi-agent architecture | MySQL | OpenAI | OpenSearch | PEFT | Parameter efficient fine-tuning | Pinecone | PostgreSQL | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | SQL Server | Security best practices | The Loop | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | GenAI Engineer | Learning Engineer | Machine Learning Engineer
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