AI Engineer (Python)

Summary: The role of AI Engineer (Python) focuses on developing and scaling Python-based systems with a strong emphasis on Artificial Intelligence and Machine Learning, particularly in Large Language Models and Computer Vision. The ideal candidate will possess a solid foundation in Python, experience with AI/ML methodologies, and the ability to collaborate effectively within a team. Responsibilities include analyzing software requirements, developing microservices, and maintaining documentation. The position offers flexibility in working arrangements, either remote or based in Princeton, New Jersey.

Key Responsibilities:

• Analyze software requirements and evaluate technical solutions to meet functional goals.
• Stay current with emerging research and publicly available models in LLMs, Computer Vision, and multimodal AI.
• Collaborate with peers to assess and refine proposed technical strategies.
• Develop Python-based microservices aligned with architectural designs.
• Conduct testing and integrate services into the broader software ecosystem.
• Maintain thorough documentation of research findings and implementation details.
• Contribute to a collaborative and knowledge-sharing team culture.

• Eligible for a security clearance.
• 2 to 5 years of practical experience in Python software development.
• Bachelor's degree in Computer Science, Data Science, or a closely related discipline.
• Proficiency with machine learning libraries such as Pandas, NumPy, PyTorch, and spaCy.
• Familiarity with LLM tools and ecosystems like Langchain, LlamaIndex, and providers such as sglang, vLLM, and OpenAI.
• Experience working in environments like Jupyter Notebooks, Google Colab, and visualization tools such as Matplotlib, Plotly, and geoplotlib.
• Understanding of transformer models, embedding techniques, transfer learning, and fine-tuning.
• Solid foundation in statistical analysis and machine learning approaches including clustering, regression, neural networks, and deep learning.
• Strong communication skills, both written and verbal, with the ability to convey technical concepts to stakeholders.
• Willingness to travel occasionally for client engagements.

• Exposure to Agentic AI frameworks (e.g., langgraph) and concepts like MCP and Retrieval-Augmented Generation (RAG).
• Knowledge of natural language processing techniques such as TF-IDF, Bag of Words, Named Entity Recognition, and Part-of-Speech tagging.
• Experience with distributed computing and data platforms like Spark, Hive, MongoDB, and MapReduce.
• Understanding of modern cloud-native architectures and tools such as Docker, AWS, Google Cloud Platform, Jenkins, and TeamCity.
• Master's degree in a relevant technical field is a plus.

Key Skills:

• Eligible for a security clearance.
• 2 to 5 years of practical experience in Python software development.
• Bachelor's degree in Computer Science, Data Science, or a closely related discipline.
• Proficiency with machine learning libraries such as Pandas, NumPy, PyTorch, and spaCy.
• Familiarity with LLM tools and ecosystems like Langchain, LlamaIndex, and providers such as sglang, vLLM, and OpenAI.
• Experience working in environments like Jupyter Notebooks, Google Colab, and visualization tools such as Matplotlib, Plotly, and geoplotlib.
• Understanding of transformer models, embedding techniques, transfer learning, and fine-tuning.
• Solid foundation in statistical analysis and machine learning approaches including clustering, regression, neural networks, and deep learning.
• Strong communication skills, both written and verbal, with the ability to convey technical concepts to stakeholders.
• Willingness to travel occasionally for client engagements.
• Exposure to Agentic AI frameworks (e.g., langgraph) and concepts like MCP and Retrieval-Augmented Generation (RAG).
• Knowledge of natural language processing techniques such as TF-IDF, Bag of Words, Named Entity Recognition, and Part-of-Speech tagging.
• Experience with distributed computing and data platforms like Spark, Hive, MongoDB, and MapReduce.
• Understanding of modern cloud-native architectures and tools such as Docker, AWS, Google Cloud Platform, Jenkins, and TeamCity.
• Master's degree in a relevant technical field is a plus.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT