Generative AI Engineer-Python

Job Description

Key Responsibilities: Generative AI Development ● With 3-5 years of experience ● Develop and implement generative AI models using frameworks like LangChain or Llama-Index. ● Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. ● Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. ● Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches. ● Work with embeddings and build solutions that leverage similarity search for personalized query resolution. ● Explore and process multimodal data, including image and video understanding and generation. ● Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering ● Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. ● Design and implement RESTful APIs for seamless communication between systems and services ● Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows. ● Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code. ● Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. ● Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workflows. ● Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. ● Leverage containerization tools such as Docker for efficient and reproducible deployments Show more Show less