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Senior AI Engineer

New York, United States
Type
Permanent

Job Description: Backend AI Engineer (LegalTech Startup)

Location:

New York City (Onsite, 5 days per week)

About Us:

A dynamic NYC-based startup at the forefront of LegalTech innovation. Their mission is to transform how legal professionals operate by leveraging cutting-edge AI technologies. As part of our team, you’ll be working with a group of passionate professionals dedicated to creating impactful solutions in a fast-paced and collaborative environment.

Role Overview:

We are seeking a talented
Backend AI Engineer
to join our team. The ideal candidate will have a strong background in Python development, hands-on experience with large language models (LLMs), and a passion for solving complex problems in the LegalTech space. You’ll play a pivotal role in designing, building, and optimizing the backend systems powering our AI-driven applications.

Responsibilities:

• Develop, implement, and maintain backend systems that support AI-driven legal applications.
• Work closely with LLMs to fine-tune, deploy, and integrate them into our platform.
• Design and optimize APIs to ensure efficient interaction between frontend and backend systems.
• Collaborate with cross-functional teams, including data scientists and legal experts, to identify and implement innovative solutions.
• Monitor and improve system performance, ensuring scalability and reliability.
• Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies.
• Contribute to a culture of continuous learning and improvement.

Qualifications:

Experience:

3+ years of backend engineering experience, preferably in a startup or fast-paced environment.

Programming Skills:

Proficiency in Python and experience with frameworks like FastAPI, Flask, or Django.

AI/ML Expertise:

Hands-on experience with large language models (e.g., OpenAI GPT, Cohere, or Anthropic) and familiarity with model fine-tuning, inference, and prompt engineering.

Database Knowledge:

Strong understanding of relational and non-relational databases (e.g., PostgreSQL, MongoDB).

Cloud & DevOps:

Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

Problem-Solving:

Ability to navigate ambiguous challenges and propose data-driven solutions.

Teamwork:

Excellent communication and collaboration skills, with a willingness to work onsite in a team-centric environment.

Preferred Qualifications:

• Experience in the LegalTech industry or a strong interest in legal systems and processes.
• Familiarity with natural language processing (NLP) libraries like Hugging Face Transformers or spaCy.
• Knowledge of CI/CD pipelines and best practices for deploying AI models.
• Exposure to working with legal datasets and ensuring data privacy and compliance.
• share

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