AI Engineer
Binocs provides agentic AI-powered due diligence and strategic advisory tools for private equity, consulting, investment banking, and corporate development teams. Its products automate deal sourcing and screening, investment memos, industry research, financial analysis, credit assessment, growth strategy, and sell-side CIM creation.
Funding history
Projects
About Binocs, Inc.
Binocs is an active operating company offering AI SaaS and hybrid AI services for investment and strategic decision-making workflows. Its platform analyzes financial documents, produces investment-grade industry reports and investment memos, screens and sources deals, assesses credit risk, supports portfolio-company growth strategy, and generates buyer-ready sell-side CIMs. The company serves private equity firms, consulting firms, investment banks, corporate development teams, lenders, and portfolio companies.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop and integrate AI technologies into a digital platform, focusing on large language models such as ChatGPT. You will embed AI capabilities, implement prompt engineering techniques, contribute to scalable AI designs, guide best practices, ensure the reliability and security of AI implementations, and explore emerging AI domains.
Requirements
- BE, BS, BTech, ME, MS, MTech, or equivalent computer science or engineering education
- 1+ years of AI development experience
- Prompt engineering with LLMs such as ChatGPT
- Programming proficiency relevant to AI development
- AI principles and machine learning models
- Deep learning for computer vision or NLP
- Cloud computing platforms such as AWS, Azure, or Google Cloud
- Deployment of AI solutions at scale
- DevOps and CI/CD for AI models
Responsibilities
- Develop and integrate AI technologies into the digital platform
- Embed AI capabilities into products
- Implement prompt engineering techniques
- Contribute to high-level and low-level AI designs
- Mentor others on AI development best practices
- Lead discussions on AI development practices
- Ensure AI implementation reliability, security, and performance
- Explore emerging AI technologies