AI/ML Engineer with Python

Responsibilities:

• Design and develop AI-driven applications using LLMs (e.g., OpenAI, Anthropic, Hugging Face, etc.).
• Build and deploy Python- and TypeScript-based services and APIs that integrate with AI models.
• Optimize model performance, prompt engineering, and cost efficiency.
• Develop scalable and secure cloud-native applications using AWS (Lambda, API Gateway, SageMaker, ECS, DynamoDB, etc.).
• Implement robust observability, logging, and monitoring for AI-driven systems.
• Collaborate closely with product managers, ML engineers, and designers to deliver AI-powered features.
• Maintain clean, testable code and ensure high code quality through automated testing and code reviews.
• Stay up to date with advances in AI, foundation models, and best practices in prompt engineering and LLM fine-tuning.

Required Qualifications:

• 6+ years of experience in software engineering, with strong Python and TypeScript skills.
• Proven experience integrating and working with LLMs or generative AI frameworks.
• Deep understanding of RESTful and event-driven architecture.
• Hands-on experience with AWS services, especially related to serverless, ML, or AI workflows.
• Experience with prompt engineering, embeddings, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG).
• Strong grasp of software engineering principles, DevOps, and CI/CD best practices.
• Excellent problem-solving, communication, and team collaboration skills.