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What You’ll Own:
- Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks.
- Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration.
- Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines.
You’ll Thrive in This Role If You Have:
- Advanced proficiency in Python, PyTorch/TensorFlow, Hugging Face, and fine-tuning techniques.
- Hands-on experience with LangChain/LangGraph, MCP, A2A orchestration, and multi-agent architectures.
- Proficient in ETL pipelines, SQL/NoSQL, vector DBs (Pinecone, Weaviate, FAISS, Milvus).
Innodata
Innodata is a global data engineering company focused on enabling the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of experience, the company delivers high-quality data solutions and services for Generative AI builders and adopters.