Hudson Manpower
AI

Generative AI/ML

Hudson Manpower · New York, NY, US · $50k - $75k

Actively hiring Posted 5 months ago

**Generative AI/ML

About the Role:**

We are seeking a Generative AI/ML with an innovative and forward-thinking mindset to join our dynamic team. The ideal candidate will be passionate about artificial intelligence, natural language processing, and large language models (LLMs), with the ability to design, develop, and deploy GenAI-driven solutions that transform business processes and enhance productivity.

You will collaborate cross-functionally with data scientists, engineers, and product teams to bring creative AI concepts to life, leveraging tools like OpenAI, Anthropic, Google Vertex AI, or similar platforms.

Experience Required: 6 months –2 Years

Key Responsibilities:

  • Design and develop applications and workflows using Generative AI and Large Language Models (LLMs).
  • Fine-tune pre-trained models to meet specific business needs and improve performance.
  • Collaborate with cross-functional teams to identify opportunities for AI-driven innovation.
  • Build prompt engineering strategies to optimize model outputs.
  • Research and prototype new approaches in text, image, and multimodal generation.
  • Implement scalable GenAI solutions using APIs and cloud platforms (AWS, Azure, or GCP).
  • Evaluate and monitor AI model accuracy, bias, and performance metrics.
  • Stay up to date with the latest trends in GenAI, NLP, and machine learning technologies.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 6 months –2 years of experience in AI/ML development with a focus on Generative AI and NLP.
  • Strong understanding of transformer-based architectures (e.g., GPT, LLaMA, Claude, Gemini).
  • Hands-on experience with Python, LangChain, Hugging Face, or OpenAI API.
  • Experience integrating GenAI models into real-world applications or enterprise systems.
  • Proficiency in cloud computing environments (AWS, GCP, or Azure).
  • Strong problem-solving and creative thinking skills.

Preferred Skills:

  • Experience with multimodal AI (text, image, or audio generation).
  • Familiarity with vector databases (Pinecone, FAISS, Chroma).
  • Exposure to prompt engineering, RAG (Retrieval-Augmented Generation), and LLMOps.
  • Excellent communication skills and ability to explain complex AI concepts in simple terms.

Why Join Us:

  • Work with cutting-edge AI tools and technologies.
  • Collaborative and innovative environment that values experimentation.
  • Opportunities to shape the future of AI-driven business transformation.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Data Science Nlp Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.