AI Engineer developing complex systems that no - code tools can’t handle for Aspire Software's portfolio. Focus on automation challenges, AI product features, and log intelligence.
About the role
- AI/ML Engineer shaping the future of legal AI at Ironclad, using cutting-edge tools for contract management. Collaborating with product teams to enhance AI capabilities and user experiences.
Responsibilities
- Build and Tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers
- Implementing backend services that power document understanding, classification, and natural language search
- Explore and apply cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad’s AI/ML vision
- Design and maintain robust systems for prompt management, model training / tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability
- Develop and scale retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflows
- Help build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring
- Partner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features
Requirements
- BS degree in Computer Science, Engineering, or a related field
- Experience working with large language models (e.g., GPT, Claude) or building RAG systems
- Experience with embedding models and vector databases
- Experience in training, evaluating, and serving machine learning models
- Hands-on experience with Python, backend service development, and RESTful APIs
- Experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering
- Proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace , OpenAI , LangChain)
- Experience with cloud platforms (e.g., GCP, AWS, Azure)
- Solid understanding of Git or other version control systems
- Strong engineering fundamentals and attention to code quality, testing, and maintainability
- Excellent communication and collaboration skills
- Passion for building AI products that solve real-world customer problems
Benefits
- 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
- Market-leading leave policies, including gender-neutral parental leave and compassionate leave
- Family forming support through Maven for you and your partner
- Paid time off - take the time you need, when you need it
- Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
- Mental health support through Modern Health, including therapy, coaching, and digital tools
- Pre-tax commuter benefits (US Employees)
- 401(k) plan with Fidelity with employer match (US Employees)
- Regular team events to connect, recharge, and have fun
- And most importantly: the opportunity to help build the company you want to work at
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
AI Engineer - Consultant developing intelligent solutions for clients and integrating them into existing processes. Join pmOne in Köln or München for a transformative journey in AI.
Senior Developer role developing AI - driven software solutions at PwC Canada. Collaborating across teams to create and implement advanced Generative AI tools and microservices.
AI Engineer developing and maintaining AI APIs and microservices using Python and Node.js for financial products. Collaborating on LLM pipelines and integrating language models into business flows.
Senior AI Engineer developing production - grade AI solutions across ML and optimization. Leading design and deployments while mentoring junior engineers and collaborating with AI leadership.
AI Engineer developing AI - driven features for legal professionals in a hybrid role. Collaborating with product, engineering, and design teams in a rapidly evolving AI environment.
Senior AI Engineer developing AI - driven features for legal professionals at Wolters Kluwer. Focusing on product development using LLM APIs and Python.
Senior LLM Engineer developing LLM - powered systems and evaluating AI systems' operational reliability for Wolters Kluwer's Digital eXperience Group.
AI Engineer developing AI use cases for Smartbroker's internal processes and client products. Driving innovation and technology adoption at the intersection of business and data.
AI Engineer Lead responsible for managing LLM systems and data pipelines at DELVE Deeper. Leading hands - on engineering efforts to ensure production quality and data platform decisions.