Applied AI Engineer
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Key details
- Location
- Argentina
- Work style
- Onsite
- Level
- Mid level
- Job type
- Contract
- Experience
- 2–4 yrs
- Function
- Data & ML
- Focus area
- AI / ML
- Posted
- 3w ago
Skills
About the role
About ComCap
ComCap is a boutique investment bank specializing in M&A, capital raising, and strategic advisory for technology and digital commerce companies.
We’re seeking an Applied AI Engineer to build practical AI tools and automation across investment banking, research, and operations. You’ll work with our teams to turn business needs into reliable, integrated workflows.
Responsibilities
- Build AI solutions for company research, document analysis, meeting summaries, and reporting.
- Integrate AI with internal systems, CRM platforms, and company data.
- Automate recurring tasks and measure improvements in efficiency and accuracy.
- Validate AI outputs, implement human review where needed, and protect confidential information.
- Maintain solutions, document processes, and train team members.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
- 2–4 years of software development or automation experience, including at least 1 year building AI applications.
- Strong Python skills and experience with APIs and SQL.
- Hands-on experience building AI applications using OpenAI or Anthropic APIs, including integration with business systems and validation of AI outputs.
- Familiarity with document processing and retrieval-augmented generation (RAG).
- Strong English communication skills and availability during US business hours.
- Financial services experience is a plus.
How to Apply
Submit your résumé and a link to your GitHub, portfolio, or recorded demonstration of an AI solution you personally built. A project example is required. Briefly explain the problem it solves, your contribution, and the results. Ensure links are accessible for review.
If your previous work is confidential, provide a personal project or a demonstration using sample data. Do not share proprietary code or client information.
Shortlisted candidates will be asked to walk us through their work and complete a brief practical assessment.
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