AI Engineer -Hybrid and Onsite

AI Engineer

We are seeking a highly skilled AI Engineer with strong expertise in Agent Development, Large Language Models (LLMs), and Python. The ideal candidate will design, build, and deploy intelligent AI/ML solutions that enhance automation, decision-making, and user experience.

Key Responsibilities:

• Design and develop AI/ML applications with a focus on agent-based systems and LLM integration.
• Build, fine-tune, and optimize machine learning models for production environments.
• Develop robust, scalable APIs and services in Python for AI-powered applications.
• Collaborate with cross-functional teams (data engineers, software developers, and product managers) to deliver end-to-end AI solutions.
• Research and evaluate emerging AI/ML frameworks, tools, and methodologies.
• Ensure security, scalability, and performance of deployed models.

Required Skills &

Qualifications:

• Strong programming experience in Python (FastAPI, Flask, or Django a plus).
• Hands-on experience with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar.
• Knowledge of agent development frameworks (Lang Chain, Auto Gen, or equivalent).
• Experience with ML frameworks such as Tensor Flow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes).
• Strong problem-solving skills and ability to work independently or in a team environment.

Nice to Have:

• Experience in AI security and compliance in cloud-native environments.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS).
• Exposure to MLOps tools and practices.

Eligibility:
Open to candidates with H-4 EAD, L2 EAD, Green Card, or U.S. Citizens only.