AI Engineer

Purpose of the Job

Noosh, a wholly owned subsidiary of HH Global, is seeking a talented and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be at the forefront of developing and implementing cutting-edge artificial intelligence solutions that leverage state-of-the-art technologies such as LangChain, OpenAI, and Claude.

This will be hybrid based position based in Mountain View, California. This role will be required to be in office 2 days per week, with the ability to work from home the remaining days.

Key Responsibilities

Agentic Development:

• Experience building AI agents that can plan, decide, and act using tools.
• Familiar with frameworks like LangChain, AutoGen, or CrewAI.
• Understands concepts like:Task planning and delegation between agents.
• Tool use and function callingMemory and context handling.

LLM Integration:

• Works with OpenAI, Claude, xAI Strong in prompt engineering, system messages, and managing context.
• Understands RAG (Retrieval-Augmented Generation) using vector DBs (e.g. Pinecone, Weaviate, FAISS).

Software & AI Feature Integration:

• Can add AI features into existing web appsSkilled in React, Material UI, Node.js, and PythonCan deploy to AWS, Vercel, or Docker-based environments.

ML/NLP Fundamentals:

• Understands transformers, embeddings, and model fine-tuning.
• Comfortable using Hugging Face, scikit-learn, or similar libraries.

Product + Workflow Awareness:

• Designs AI features that support real-world workflows.
• Familiar with enterprise SaaS use cases like spec creation, email parsing, or vendor recommendations.

Knowledge, Skills + Experience

• Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field.
• Proven experience in AI engineering, deep learning, neural networks, machine learning, and working with technologies such as LangChain, OpenAI and Claude.
• Strong programming skills in Python or R.
• Proficiency in AI frameworks and libraries like TensorFlow, PyTorch and scikit-learn.
• Experience with data preprocessing, feature engineering and data evaluation techniques.
• Competence in working with large datasets and using tools like SQL, Hadoop, Spark, and vector databases.
• Knowledge of cloud platforms (e.g., AWS) and experience in deploying AI-based solutions in cloud environments.
• Excellent problem-solving abilities and a keen eye for detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Strong drive for continuous learning and a passion for staying at the forefront of AI, deep learning and neural network advancements.

Company Benefits

• Healthcare, Dental, Vision Insurance.
• Short-term and long-term disability coverage.
• 401k with discretionary company match.
• 16 days of PTO with 9 company holidays + 3 floating holidays.

For California applicants: The salary range for this position is $130,000 to $175,000 annually. Actual compensation packages are based on a variety of factors that are unique to each candidate, including skill set, experience, certifications, and work location. This range may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance targets, benefits, and/or other applicable incentives.

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Your application will be reviewed by a member of our Recruiting Team and we'll reach out to you directly if there's a fit for the position. We're using video conferencing software to conduct many of our interviews, but all interviews will be live with a member of our Recruiting or Hiring teams.