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2 days ago
We are seeking a skilled AI Model Integration Engineer to develop, fine-tune, and integrate Large Language Models (LLMs) into enterprise applications.
Key Responsibilities:- Develop, fine-tune, and integrate LLMs into enterprise applications.
- Implement prompt engineering techniques, embeddings, and RAG pipelines.
- Understand the building of Agentic AI applications using Langgraph.
- Build and maintain APIs, microservices, and front-end/back-end integrations for GenAI applications.
- Work with vector databases to enable semantic search.
- Deploy solutions on cloud AI platforms.
- Optimize model performance, latency, and scalability.
- Collaborate with data scientists and solution architects to deliver PoCs and production-ready applications.
- Ensure AI solutions follow responsible AI guidelines.
- Strong programming skills in Python, with experience in APIs, microservices, Flask/FastAPI/Django.
- Hands-on experience with Azure Databricks and Apache Spark.
- Knowledge of vector embeddings and vector databases.
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
- Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models.
- Experience working with cloud-based AI services.
- Strong problem-solving and debugging skills.
- Good to have experience with PyTorch, TensorFlow, Hugging Face Transformers.
This role offers a collaborative and innovative work environment that encourages professional growth and development.
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