What are the responsibilities and job description for the Artificial Intelligence Engineer position at HireCapital?
About the Company
HireCapital is partnered with a cutting-edge technology firm that is redefining how critical data and intellectual assets are protected in a rapidly evolving global landscape. Their innovative solutions empower organizations to proactively safeguard their most valuable innovations from sophisticated threats. By combining deep subject-matter expertise with cutting-edge AI, they help organizations make faster, smarter decisions in high-stakes environments.
The Opportunity
This is a chance to build advanced AI solutions using massive, unique datasets that are growing by tens of millions of records per day. You’ll be part of a multidisciplinary team focused on turning unstructured information into structured, actionable intelligence. The organization is scaling rapidly, with AI at the core of its product vision. If you're excited about applying LLMs, automating NLP workflows, and shaping AI-driven features from the ground up, this role is for you.
What You’ll Do
- Develop and optimize prompts for a range of NLP tasks
- Fine-tune and adapt LLMs for targeted, real-world applications
- Build and automate batch inference pipelines
- Extract structured data from vast volumes of unstructured text
- Contribute to AI features used in both internal tools and end-user applications
- Research and prototype new uses of generative AI and representation models
- Collaborate with engineers, data scientists, and SMEs to bring solutions to production
What We’re Looking For
- 6 years in AI or machine learning engineering, ideally in data-intensive environments
- Proven experience building and shipping solutions that leverage LLMs
- Strong grasp of NLP, prompt engineering, and deep learning techniques
- Familiarity with current trends and limitations in foundation models
- Ability to work across large, complex datasets with curiosity and precision
Technologies You'll Work With
- Languages: Python
- Frameworks & Libraries: Flask, DSPy, LLM APIs (e.g., OpenAI, Anthropic, etc.)
- Databases & Search: Elasticsearch, RDS, DynamoDB
Why It’s a Great Role
- Work with some of the largest open-source and proprietary datasets in the world
- Contribute to high-impact products used by influential decision-makers
- Be part of a company with a strong market position and long-term stability
- Enjoy growth opportunities, technical ownership, and the chance to shape AI strategy from day one
Benefits
- A dynamic work environment where innovation and creativity are continuously nurtured.
- A chance to work on projects that make a significant impact on global technology security.
- Competitive compensation/benefit packages including but not limited to medical/dental/vision, unlimited PTO, 401k, parental leave, equity options, wellness reimbursement, and opportunities for career growth.