Search for AI Engineer roles in New York focusing on natural language processing, with a salary range of $180,000 to $220,000, requiring 2-8 years of experience and knowledge of Python.

Okay, I've searched for AI Engineer roles in New York focused on natural language processing, with a salary range of $180,000 to$ 220,000, requiring 2-8 years of experience, and proficiency in Python. I found 34 positions that match your criteria.

AI Engineer

New York, NY

yearly paid

$180000+

$220000-

2-8 years

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of AI Engineer at a pioneering fintech company involves the development and deployment of advanced natural language processing (NLP) solutions targeted at complex legal-financial challenges. The core focus is on innovative AI model creation, taking projects from prototyping to production, and optimizing model performance through various technical methodologies. This requires not only a strong foundation in AI and NLP, but also active collaboration across functions like product and engineering to ensure alignment with strategic goals. A successful candidate will likely face the challenge of translating theoretical AI concepts into practical, real-world applications while navigating the complexities of unstructured data and ensuring system scalability. Performance in this role will hinge on the candidate's ability to push the boundaries of current NLP methods while mentoring less experienced peers and contributing to thought leadership in the field.

Company Analysis:

Harnham stands as a specialist in Data and AI recruitment and staffing, operating in a rapidly evolving sector marked by increasing complexity and demand for high-caliber AI talent. As a recruitment provider, the company holds a significant position in the market, which places its services at the forefront of a burgeoning industry. The role of AI Engineer aligns with their strategic goals of enhancing organizational capabilities through bespoke talent solutions. The company appears to prioritize innovation and excellence in a fast-paced environment while fostering a collaborative culture, where the sharing of knowledge and best practices enhances the overall team dynamic. In this organizational context, the AI Engineer will not only contribute to crucial projects but also have visibility with leadership and the opportunity to shape internal processes. This role serves as a vital link between advanced AI solutions and practical implementations that elevate Harnham's standing in the market.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you led a project from prototyping to production. What challenges did you face, and how did you overcome them?
Can you describe a situation where you had to optimize an NLP model's performance? What techniques did you apply?
Discuss an experience where you mentored a colleague or junior team member. What approach did you take, and what was the outcome?
How do you stay current with advances in AI and NLP technologies? Can you provide an example of how you've applied new knowledge in your work?
What specific NLP frameworks have you worked with, and how did you use them in your past projects?
How would you approach designing an NLP solution for a new legal-financial application? What initial steps would you take?
Imagine you are tasked with enhancing an existing NLP model that is underperforming. How would you diagnose the issues and plan your improvements?
If you were asked to lead a cross-functional team to align AI capabilities with business goals, how would you ensure effective collaboration?
Why are you interested in the AI Engineer role at this fintech company specifically, and how do you see your skills aligning with its goals?
In what ways do you value mentorship and knowledge sharing in a team environment, and how would you incorporate that into your role?
What excites you about working in the fintech space, particularly in the context of AI application?
What type of support or resources do you think are essential for success in a role like this at Harnham?
How do you envision contributing to the development of best practices in NLP within the organization?
What questions do you have about how the AI Engineer role interacts with other teams at Harnham?
What potential challenges do you foresee in this position, and how would you approach addressing them?

Job Details

Overview Company

AI Engineer

$180k/y-$220k/y

Harnham

2 days ago

Highlight

RemoteFull-time2+ yearsMid

Summary

Harnham is seeking an AI Engineer to join their team in New York, NY. The role involves developing and deploying advanced natural language processing solutions in the legal-financial domain.

About the Role

As an Applied AI/NLP Scientist, you will design and implement novel NLP and LLM architectures, lead projects from prototyping to production, and enhance model performance. You will collaborate with cross-functional teams, contribute to research papers, and provide mentorship to junior researchers and engineers.

About You

Required:

2-8 years of professional experience in applied NLP or LLM-based system development.
Strong foundation in building and deploying NLP models in production settings.
Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
Demonstrated experience scaling models across large, unstructured datasets.
Applied research background with a proven track record of translating research into real-world tools and platforms.
Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
Excellent communication skills and comfort working in agile, high-ownership environments.
PhD or Master's degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).

Preferred:

Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR).

Benefits

Base salary of $180k–$220k + performance bonus.
Innovation ownership to drive the development of novel NLP applications and contribute to IP.
Remote flexibility to work from anywhere in the U.S.
Full benefits including health, dental, vision, 401(k), generous PTO, and more.

Harnham

Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com

Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions.

Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.

Our five core services:

ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a
Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.

New York, NY