AI Engineer (US)

EdgeQ Technologies Private Limited; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

EdgeQ Technologies Private Limited in San Francisco, CA, is seeking an AI Engineer to design, develop, and deploy AI/ML solutions using modern techniques.

You will work with Python, PyTorch, and LLM/NLP technologies, building production-ready AI features and APIs, with collaboration across engineering and product teams.

Qualifications

• 1–5 years of experience in AI/ML engineering or a related field.
• Strong programming skills in Python.
• Hands‑on experience with PyTorch or similar deep‑learning frameworks.
• Proven experience building and integrating LLM and NLP solutions.

Responsibilities

• Develop and deploy AI/ML models for real-world business applications.
• Build and integrate LLM-powered applications and AI solutions.
• Design, train, fine‑tune, and evaluate machine learning models using PyTorch.
• Create AI APIs and integrate models into production systems.
• Optimize models for accuracy, performance, and scalability.
• Collaborate with engineering and product teams to implement AI features.

Skills

Python

LLMs/NLP

AI/ML engineering

Tools

PyTorch

Hugging Face

LangChain

AWS/Azure/GCP

Job description

We are seeking an AI Engineer to join our team. The role involves designing, developing, and deploying AI/ML solutions using modern machine learning, large language models, and natural language processing technologies.

Key responsibilities

• Develop and deploy AI/ML models for real-world business applications.

• Build and integrate LLM-powered applications and AI solutions.

• Design, train, fine‑tune, and evaluate machine learning models using PyTorch.

• Create AI APIs and integrate models into production systems.

• Optimize models for accuracy, performance, and scalability.

• Collaborate with engineering and product teams to implement AI features.

Required qualifications

• 1–5 years of experience in AI/ML engineering or a related field.

• Strong programming skills in Python.

• Hands‑on experience with PyTorch or similar deep‑learning frameworks.

• Proven experience building and integrating LLM and NLP solutions.

Nice to have

• Experience with generative AI and transformer‑based models.

• Familiarity with Hugging Face, LangChain, or similar AI frameworks.

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Knowledge of vector databases and Retrieval‑Augmented Generation (RAG).