About this opportunity
Dioptra (acquired by Icertis) lists this Agentic AI Engineer opportunity in new york city (brooklyn), New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior AI Software Engineer (Full Stack)
At Dioptra, we're transforming the way enterprises do business by turning contracts into structured business intelligence that powers enterprise systems. We're accelerating that vision by combining industry-leading AI technology with a world-class engineering team. As an early member of the Dioptra team, you'll work alongside the founders who built one of the industry's most advanced contract AI platforms and help define the future of enterprise legal technology. This is an opportunity to work on cutting-edge AI agents, influence product direction, and solve complex technical challenges in a rapidly growing market.
About the Role
We're looking for a Senior AI Software Engineer to help build the next generation of AI-powered contract intelligence products. You'll collaborate closely with engineering, product, and design teams to architect, develop, and scale intelligent applications that combine modern AI capabilities with enterprise-grade software engineering
As one of the early engineers on this team, you will
Design, build, and maintain Agentic AI-powered applications across the full stack
Develop intelligent workflows using modern agentic frameworks
Architect scalable backend services and user-facing applications
Build reliable integrations with enterprise systems and cloud infrastructure
Drive engineering best practices, technical strategy, and architectural decisions
Define success metrics and continuously improve product performance
Partner directly with leadership and product teams to deliver customer value
Take ownership of major technical initiatives from concept through production
Required Qualificat ions
Experience
4+ years of professional experience building AI-powered software products (8+ years preferred for senior candidates)
Experience working in a SaaS startup or other fast-paced product environment
Proven ability to thrive in ambiguous, rapidly evolving environments.
Daily experience using AI-assisted development tools such as Cursor, Codex, or similar
Technical Skills
Strong proficiency in Python
Experience with SQL and relational databases (PostgreSQL preferred).
Hands-on experience building applications using LLMs from OpenAI, Anthropic, or similar providers.
Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen
Experience designing and deploying production AI applications.
Familiarity with CI/CD pipelines, Git, and modern software development practices
Experience with containerization and cloud platforms, including Docker, Kubernetes, AWS, Azure, or Google Cloud Platform
Understanding of LLM evaluation, monitoring, and observability.
Experience training or fine-tuning models is a plus.
Education
Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience.
What We're Looking For Successful candidates will demonstrate:
A product mindset with the ability to balance speed and quality
Comfort owning complex technical challenges with minimal direction
Excellent collaboration and communication skills.
A desire to make a significant impact as part of a small, high-performing team
Pluses We're especially interested in candidates who have:
Built and shipped production AI applications
Worked at high-growth startups
Experience across both backend and frontend development.
A track record of driving technical initiatives and mentoring other engineers
Why Join Dioptra?
Work directly with the founders behind one of the industry's leading AI contract platforms
Build state-of-the-art AI agent technology used by enterprise customers
Own meaningful technical decisions and influence product direction.
Join a small, highly collaborative team with significant autonomy.
Help shape the future of enterprise AI and contract intelligence.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.