AI System Engineer
Job Description
We are seeking a skilled AI Engineer with strong Python experience to build and deploy AI solutions using Large Language Models, agentic AI, and RAG systems. The role involves developing intelligent AI workflows, integrating them with enterprise systems, and deploying solutions on cloud AI platforms.
Key Responsibilities
- 4-6 years of handson experience as an AI/ML Engineer with proven delivery of agentic AI solutions
- Strong experience with Pythonbased AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
- Handson experience with LLMs, RAG pipelines, vector databases, and knowledge graphs
- Experience using cloud AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI
- Expertise in integrating AI/LLM solutions with enterprise systems
- Experience deploying AI solutions across development, staging, and production environments
Key Skills & Competencies
- Strong handson experience with Python and AI/ML development
- Experience building AI agents, multiagent systems, and autonomous AI workflows
- Solid knowledge of LLMs, prompt engineering, and RAG (RetrievalAugmented Generation) solutions
- Handson experience with LangChain, LlamaIndex, Transformers, PyTorch
- Experience working with vector databases such as Pinecone, Weaviate, or ChromaDB
- Exposure to cloud AI platforms Azure OpenAI, AWS Bedrock, or Google Cloud AI
- Experience developing and integrating APIs and AI services using FastAPI / Flask
- Working knowledge of Docker, Kubernetes, Git, and MLOps practices
- Experience building chatbots and conversational AI applications
- Familiarity with performance tuning, monitoring AI models, and AI safety practices
- Ability to document AI architecture and collaborate effectively with stakeholders
