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AI Innovator
3 weeks ago
We are seeking a highly skilled Generative AI Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and deploying large language models into enterprise applications.
Key Responsibilities:
- Design and implement large language models, fine-tune their performance, and integrate them into enterprise applications.
- Implement prompt engineering techniques, embeddings, and retrieval-augmented generation pipelines.
- Develop agentic AI applications using Langgraph and similar frameworks.
- Build and maintain APIs, microservices, and front-end/back-end integrations for generative AI applications.
- Work with vector databases to enable semantic search.
- Deploy solutions on cloud AI platforms.
- Optimize model performance, latency, and scalability for real-world usage.
- Collaborate with data scientists and solution architects to deliver proofs of concept and production-ready applications.
- Ensure AI solutions follow responsible AI, data privacy, and security guidelines.
Required Skills and Qualifications:
- Strong programming skills in Python, with experience in APIs, microservices, and 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 (Azure, AWS, or GCP).
- Strong problem-solving and debugging skills.
- Good to have experience with PyTorch, TensorFlow, and Hugging Face Transformers.
Why Join Us?
We offer a dynamic work environment, competitive compensation package, and opportunities for growth and development.
How to Apply:
If you are passionate about AI and have the required skills and qualifications, please submit your application with your resume and cover letter.