Python GENAI Engineer (RARR Job 5251)

We are seeking a dynamic and experienced Senior Data Scientist with strong hands-on expertise in Python, LangChain, and any major cloud platform (AWS, GCP, or Azure). The ideal candidate will play a key role in designing and building scalable AI/ML-driven tools and applications, particularly focused on Generative AI and LLM integration.

Key Responsibilities:

• Develop, fine-tune, and deploy advanced machine learning models using Python and LangChain.

• Design and build AI-powered tools leveraging LLMs (e.g., OpenAI, Anthropic, Cohere) and vector databases.

• Integrate AI/ML solutions with cloud-native services on AWS, Azure, or GCP.

• Apply prompt engineering and chaining techniques to create conversational AI workflows.

• Work on retrieval-augmented generation (RAG) pipelines and knowledge management solutions.

• Collaborate with product, engineering, and data teams to identify and solve real-world business problems using AI.

• Maintain and optimize model performance, data pipelines, and infrastructure.

• Document processes, code, and models for long-term maintainability.

Must-Have Skills:

• Strong programming skills in Python with experience in ML libraries (scikit-learn, pandas, NumPy, etc.).

• Experience with LangChain and vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma).

• Hands-on experience with cloud platforms (AWS, GCP, or Azure) – including deployment and scaling of ML models.

• Solid understanding of LLMs, NLP, and GenAI frameworks (OpenAI, Hugging Face Transformers, etc.).

• Knowledge of prompt engineering and tool chaining concepts.