AI Engineer

We are seeking an experienced AI Engineer to design, develop, and deploy production-grade AI and Generative AI solutions. The ideal candidate will have strong hands-on experience with Python, LLMs, RAG, AI/ML, and cloud-based AI applications.

Key Responsibilities

• Design and develop AI/ML and Generative AI applications using Python.
• Build LLM-powered applications, RAG pipelines, AI agents, and intelligent automation solutions.
• Work with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI and integrate foundation models into enterprise applications.
• Develop prompt engineering, embeddings, vector search, and retrieval solutions.
• Build and integrate APIs and AI services into scalable applications.
• Implement model evaluation, monitoring, security, and responsible AI practices.
• Deploy AI solutions using Docker, Kubernetes, CI/CD, and cloud platforms.
• Collaborate with data engineers, software engineers, architects, and business stakeholders.
• Troubleshoot and optimize AI applications for performance, scalability, and reliability.

Required Skills

• 5+ years of experience in AI/ML Engineering, Software Engineering, or related field.
• Strong Python programming skills.
• Hands-on experience with Generative AI, LLMs, RAG, embeddings, and vector databases.
• Experience with LangChain, LlamaIndex, or similar AI frameworks.
• Experience with OpenAI/Azure OpenAI, AWS Bedrock, or Vertex AI.
• Strong understanding of Machine Learning and NLP concepts.
• Experience building and deploying production AI applications.
• Knowledge of REST APIs, Git, Docker, and CI/CD.
• Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.

Preferred Skills

• Experience with Agentic AI / AI Agents.
• Experience with LangGraph or similar agent frameworks.
• MLOps/LLMOps experience.
• Experience with Databricks, Snowflake, or cloud data platforms.
• Kubernetes and Terraform experience.
• Experience implementing enterprise AI governance and security.