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Senior Large Language Model Developer
2 weeks ago
Generative AI Engineer Position
Key Responsibilities:
- Develop and fine-tune large language models (LLMs) to integrate them into enterprise applications.
- Implementing prompt engineering techniques, embeddings, and Retrieval Augmented Generation pipelines is crucial in this role.
- The ideal candidate should have experience with building Agentic AI applications using Langgraph and similar technologies.
- Build and maintain APIs, microservices, and front-end/back-end integrations for GenAI applications.
- Collaborate with vector databases like Pinecone, FAISS, Weaviate, and Milvus to enable semantic search.
- Deploy solutions on cloud AI platforms including Azure OpenAI, AWS Bedrock, and GCP Vertex AI.
- Optimize model performance, latency, and scalability for real-world usage.
- Ensure that AI solutions follow responsible AI, data privacy, and security guidelines.
Required Skills and Qualifications:
- Strong programming skills in Python, preferably with experience in APIs, microservices, Flask/FastAPI/Django.
- Hands-on experience with Azure Databricks and Apache Spark is a plus.
- Knowledge of vector embeddings and vector databases is required.
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks is beneficial.
- Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models is necessary.
- Working experience with cloud-based AI services like Azure, AWS, or GCP is essential.
- Strong problem-solving and debugging skills are a must.
- Good to have experience with PyTorch, TensorFlow, Hugging Face Transformers.
Benefits and Opportunities:
A successful Generative AI Engineer will work closely with cross-functional teams to design, develop, and deploy AI-powered applications.
This position offers the opportunity to work with cutting-edge technology and contribute to the development of innovative AI solutions.
As a member of our team, you will have the chance to collaborate with experienced professionals and learn from their expertise.
Our company prioritizes professional growth and development, providing training and resources to help you succeed in your career.
