Description

You will design and develop agentic AI ecosystems for complex enterprise applications.

This role is on-site.

Responsibilities

• Design and develop agentic AI ecosystems using LLMs, reasoning frameworks, and orchestration layers.
• Integrate AI agents with enterprise data systems and APIs for real-time data retrieval and decision-making.
• Collaborate with data scientists and product owners to translate business requirements into autonomous agentic workflows.
• Implement observability and logging frameworks to track agent execution and performance metrics.
• Stay current on advancements in autonomous AI systems and LLM orchestration trends.

Required Skills

• Expertise with LLM frameworks including LangGraph, LangChain, CrewAI, or AutoGen.
• Proficiency in Python or TypeScript for backend orchestration and API development.
• Experience with vector databases (Pinecone, Chroma, FAISS) and embedding-based retrieval.
• Strong understanding of RAG, tool-use, and multi-agent communication paradigms.
• Experience integrating AI agents with enterprise systems (ERP, CRM).
• Knowledge of cloud architecture and DevOps on AWS, Azure, or GCP.
• Familiarity with observability tools like OpenTelemetry and Prometheus.
• 6+ years of experience in AI/ML engineering or architecture.

Preferred Skills

• 2+ years focused specifically on LLM or agentic AI development.

Key Skills

Education

Bachelor's or Master's degrees