Job Description
We are looking for an experienced AI Engineer with strong expertise in Large Language Models (LLMs) and agent-based systems. The role involves designing and building intelligent AI agents, creating multi-agent workflows, and integrating AI solutions with enterprise systems.
The ideal candidate will have hands-on experience with modern AI frameworks, strong Python programming skills, and a deep understanding of prompt engineering, RAG architectures, and LLM-based applications.
Key Responsibilities
AI Development & Implementation
- Design and develop AI agents using Large Language Models (LLMs)
- Build and manage multi-agent workflows for complex problem-solving and automation
- Implement orchestration and collaboration between multiple AI agents
Frameworks & Tools
- Work with agent frameworks such as LangChain and LangGraph
- Implement Retrieval-Augmented Generation (RAG) pipelines
- Apply prompt engineering techniques to optimize model outputs
- Utilize function calling and advanced LLM capabilities
Integration & Systems
- Integrate AI agents with APIs, databases, and enterprise systems
- Enable seamless communication between AI systems and external tools
- Ensure scalability and performance of AI solutions
Data & Model Handling
- Work with machine learning models and data pipelines
- Handle structured and unstructured data efficiently
- Optimize model performance and response quality
Requirements
- 5+ years of experience in Artificial Intelligence or Machine Learning
- Strong programming skills in Python
- Hands-on experience with LLMs and ML models
- Experience with LangChain, LangGraph, or similar frameworks
- Solid understanding of RAG, prompt engineering, and function calling
- Experience integrating AI systems with APIs, databases, and enterprise tools
- Strong problem-solving and analytical skills
- Good communication and collaboration abilities
Technical Skills
- Python Programming
- Large Language Models (LLMs)
- LangChain / LangGraph
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- API Integration
- Machine Learning Models
- Data Handling
Key Skills
- Artificial Intelligence
- LLM Development
- Agent-Based Systems
- Multi-Agent Workflows
- APIs & Integrations
- Snowflake (optional)
- Problem Solving