AI/ML Engineer

Position: AI/ML Engineer (x2 Openings)

Locations: Jersey City, NJ | Boston, MA (Preferred) | McLean, VA
Work Type: Hybrid (Location-based preference strongly considered)

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Important Screening Notes:

Candidates must demonstrate strong hands-on coding ability in Python, Machine Learning, and Pandas.
Thorough understanding of RAG (Retrieval-Augmented Generation) and Agentic AI concepts is essential.
Production-level experience with GenAI applications is a must.

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Job Summary:

We are seeking two highly skilled and innovative AI/ML Engineers to join our team. You will play a pivotal role in designing, developing, and deploying production-grade Generative AI solutions with a focus on RAG and Agentic AI workflows. This is a hands-on role that combines model development, cloud deployment, and API engineering.

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Key Responsibilities:

< class="" data-start="1098" data-end="1144">Generative AI Application Development

• Design and develop RAG-based and Agentic AI systems using LLMs and advanced prompt engineering.

• Fine-tune and evaluate LLMs to meet performance and alignment goals.

• Integrate AI applications with internal systems to streamline workflows and enhance functionality.

< class="" data-start="1424" data-end="1463">Model Development & Deployment

• Build and train machine learning models to solve complex problems.

• Deploy models to production environments, ensuring scalability and maintainability.

• Continuously optimize models based on real-world performance and user feedback.

< class="" data-start="1702" data-end="1726">Data Management

• Collect, clean, and preprocess data from various sources.

• Engineer features and apply data augmentation techniques to boost model accuracy.

• Maintain data pipelines for smooth data operations and model lifecycle management.

< class="" data-start="1957" data-end="1988">Python API Development

• Develop scalable, asynchronous APIs using FastAPI, Apache, Gunicorn, etc. for model inference and interaction.

< class="" data-start="2107" data-end="2145">Collaboration & Communication

• Work closely with cross-functional teams including software engineers, data scientists, and product managers.

• Translate complex AI/ML findings into clear, actionable insights for stakeholders.

• Mentor junior team members and help build a strong AI/ML knowledge culture.

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Required Qualifications:

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field.

• 6 years of hands-on experience in Machine Learning and Data Science.

• Strong expertise in Generative AI, RAG, and Agentic AI workflows.

• Proficiency in Python and relevant ML/AI libraries:

  • Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, LangChain, Matplotlib, Seaborn.

• Strong experience with cloud platforms (AWS, Azure, Google Cloud Platform).

• Hands-on experience developing asynchronous Python APIs.

• Experience building and deploying AI applications at scale in production environments.

• Familiarity with data visualization tools like Tableau is a plus.

• Exceptional communication, teamwork, and problem-solving skills.

• Passionate about staying current with evolving AI technologies and methodologies.

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