Design and build agentic systems using frontier LLMs and develop document understanding pipelines for complex legal contracts. Collaborate with legal and commercial stakeholders to translate requirements into system logic and build evaluation sets to measure accuracy.
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
We're looking for a Senior AI/ML Engineer 🐶🚀 to join a delivery team building a contract intelligence system that reads large sets of related legal documents (master agreements, amendments, addenda, exhibits, schedules) and answers questions about what those documents say and which terms are in force at a given date.
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🚀 What We Do
Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
Amazon Web Services
Astronomer
Databricks
🌟 Our Values
📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
Design and build agentic systems with frontier LLMs: agent loops, tool use, agent skills, and MCP servers.
Build the document understanding pipeline: OCR, advanced image parsing, and table extraction from scanned and poorly structured PDFs.
Decompose complex legal questions into steps the system can execute and verify.
Build evaluation sets from real contract questions with known answers, and use them to measure accuracy, citation quality, and the system's ability to return “not stated” instead of guessing.
Work directly with legal and commercial stakeholders to translate their questions into system requirements.
Required Skills 💻
Strong Python, with production AI systems shipped and operated — not prototype or notebook work.
Hands-on experience with frontier LLM APIs and a production agent SDK.
Solid grasp of agent architecture: agent loops, tool use, agent skills, and MCP.
Document AI experience: OCR, advanced image parsing, and table parsing from scanned documents.
Experience evaluating and testing LLM systems, including hallucination control and abstention behavior.
Familiarity with common commercial clauses: liability caps and carve-outs, indemnity, termination, auto-renewal and notice periods, assignment and change of control, survival, governing law, pricing and escalation terms.
Experience building RAG or document QA systems for regulated or legal domains.
🎁 Perks
Remote-first culture – work from anywhere! 🌍
AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
In-Company English Lessons.
Birthday off + an extra vacation week (Mutt Week! 🏖️)
Referral bonuses – help us grow the team & get rewarded!
Maslow: Monthly credits to spend in our benefits marketplace.
“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”
— Sarah J.
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Marketing Manager
★★★★★
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