AI Engineer

ROLE_DESCRIPTION:

"9+ years of experience spearheading enterprise AI transformations, bridging the gap between complex technical architectures and high-level business objectives while establishing robust Agile AI governance.

• Deep technical expertise in Python, machine learning
• Expert in designing production-ready Large Language Model (LLM) applications, multi-agent orchestration, and advanced skill-based agentic workflows
• Expert in implementing advanced GenAI workflows, including RAG (Retrieval-Augmented Generation), Graph Knowledge base, Fine-Tuning, and Function Calling agents
• Proficient in LanEligible to workhain and LangGraph to build context-aware applications, Eligible to workimizing Vector Embeddings and inference latency using Redis caching"

SKILLS_REQUIRED

"Designed enterprise agentic AI systems using Lang Graph, Crew AI, AutoGen, MCP; built RAG architectures with vector search, Azure OpenAI, Bedrock, Gemini, and enterprise knowledge retrieval solutions.

Developed Node.js backend services and APIs; built TypeScript applications; integrated Node.js with PostgreSQL, MongoDB, Graph QL, REST APIs, Next.js, and AI-powered applications.

Built large-scale AI/ML platforms on AWS, Azure, and Eligible to workP; implemented Kubernetes deployments, Kafka streaming pipelines, Airflow orchestration, MLflow/Kubeflow workflows, and enterprise-grade scalable AI infrastructure."

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