Description

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

Responsibilities

• Design and develop agentic AI ecosystems using LLMs and reasoning frameworks (LangGraph, LangChain, DSPy, CrewAI, Bedrock).
• Integrate AI agents with enterprise data systems (AWS Aurora, Snowflake, vector databases) and APIs for data retrieval and decision-making.
• Translate business requirements into autonomous agentic workflows in collaboration with data scientists and product owners.
• Implement observability and logging frameworks to track agent execution and performance metrics.
• Stay current on advancements in autonomous AI systems and cognitive architecture trends.

Required Skills

• 6+ years of experience in AI/ML engineering or architecture, including 2+ years in LLM or agentic AI development.
• Expertise with LLM frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
• Proficiency in Python, Node.js, or TypeScript for backend orchestration and API development.
• Familiarity with LLMs and APIs from OpenAI (GPT-4/5), Anthropic, AWS Bedrock, or Azure OpenAI.
• Experience with vector databases (Pinecone, Chroma, FAISS, Weaviate, etc.) and embedding-based retrieval.
• Strong understanding of RAG, tool-use, and multi-agent communication paradigms.
• Knowledge of cloud architecture and DevOps (AWS, Azure, or GCP).
• Experience integrating AI agents with enterprise systems (CRM, ERP, data lakes).
• Proven track record of delivering projects using emerging technologies.

Preferred Skills

• Experience in mentoring and guiding junior team members.
• Experience working with cross-functional teams.

Key Skills

Education

Bachelor's degree