AI Engineer

We are seeking an experienced AI Engineer with deep hands-on AWS expertise to design, develop, deploy, and scale advanced AI/ML and generative AI solutions in production environments. The ideal candidate will possess strong experience in Python, LLMs, RAG (Retrieval-Augmented Generation), Agentic AI, Amazon Bedrock, SageMaker, and the ability to transition AI concepts from Proof of Concept (POC) to full-scale production.

Responsibilities:

• Design, build, and deploy scalable AI/ML and generative AI solutions on AWS infrastructure.
• Develop sophisticated LLM-powered applications, autonomous agents, RAG pipelines, and intelligent automation workflows.
• Construct robust MLOps/LLMOps pipelines using Python and modern frameworks for deployment, monitoring, and continuous improvement.
• Leverage core AWS services including Amazon Bedrock, SageMaker, Lambda, S3, ECS/EKS, EC2, API Gateway, and CloudWatch to optimize workloads for performance, security, cost, and reliability.
• Implement RAG solutions utilizing embedding models and vector databases such as Pinecone or Weaviate.
• Mastery in prompt engineering, model fine-tuning, evaluation strategies, and optimization techniques.
• Integrate AI models seamlessly with applications through REST APIs and microservices architecture.
• Collaborate effectively across Product, Engineering, Data Science, and DevOps teams to deliver production-ready solutions.

Requirements:

• Demonstrated strong analytical and problem-solving skills.
• A proven track record of taking AI solutions from POC to production environments.
• Solid understanding of scalable cloud architecture, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Excellent communication and documentation abilities for cross-functional collaboration.

Tech Stack Highlights:

Python, AWS Cloud Services, Amazon Bedrock, SageMaker, Generative AI, LLMs, RAG, Agentic AI (LangChain/LlamaIndex), Hugging Face, PyTorch/TensorFlow, Docker, Kubernetes, REST APIs, Vector Databases, MLOps/LLMOps.

AI and GenAI Expertise:

• Strong grasp of machine learning, deep learning, NLP, and generative AI principles.
• Hands-on experience with LLMs, embeddings, vector databases, and prompt engineering strategies.
• Familiarity with AWS Lambda, S3, EC2, ECS/EKS, API Gateway, Step Functions for cloud orchestration.