Senior AI Engineer

Muttdata
Argentina
RemoteCareer-pivot friendly

Who this role is best for

Senior AI engineers with experience in production LLM systems and legal domain knowledge will find this remote role in Argentina aligning with their expertise in agentic systems and document AI.

Best fit for

  • Candidates with a background in building production AI systems and legal domain expertise will thrive here.
    β€” β€œStrong Python, with production AI systems shipped and operated”
  • Individuals skilled in LLM agent architecture and document understanding pipelines are ideal for this role.
    β€” β€œDesign and build agentic systems with frontier LLMs: agent loops, tool use, agent skills, and MCP servers.”
  • Professionals with experience in RAG or document QA systems for legal or regulated domains will be a strong match.
    β€” β€œExperience building RAG or document QA systems for regulated or legal domains.”

Things to consider

  • The role requires significant overlap with North American business hours despite being remote.
    β€” β€œable to work effectively in a distributed team with overlap to North American business hours”
  • Candidates must be fluent in English for effective communication with stakeholders.
    β€” β€œStrong written and spoken English”

How to stand out

  • Highlight experience with production LLM agent SDKs and real-world deployment of AI systems.
    β€” β€œHands-on experience with frontier LLM APIs and a production agent SDK.”
  • Emphasize your ability to decompose complex legal questions into actionable system steps.
    β€” β€œDecompose complex legal questions into steps the system can execute and verify.”
  • Showcase your work with document AI, especially OCR and table extraction from structured documents.
    β€” β€œDocument AI experience: OCR, advanced image parsing, and table parsing from scanned documents.”
  • Demonstrate your ability to create evaluation sets for LLM accuracy and citation quality.
    β€” β€œBuild evaluation sets from real contract questions with known answers.”
  • Demonstrate your ability to translate stakeholder needs into technical requirements.
    β€” β€œWork directly with legal and commercial stakeholders to translate their questions into system requirements.”
Pace Β· SteadyCollaboration Β· HighAutonomy Β· MediumDecision Impact Β· TeamLevel Β· Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed agentic systems
  • improved document understanding pipeline
  • optimized LLM systems
Typical background
7+ years of experience in AI systems developmenthands-on experience with frontier LLM APIs

Skills & requirements

Required

PythonLLM ApisAgent ArchitectureDocument AIEvaluation Of LLM SystemsCommercial Clauses Understanding

Preferred

RAG SystemsDocument QA Systems

Stack & domain

PythonLLM ApisAgent ArchitectureOCRAdvanced Image ParsingTable ParsingLLM Systems EvaluationCommercial ClausesRAGDocument QA SystemsProblem-solvingTeamworkCommunicationAdaptabilityMachine LearningBig DataCloud-based SystemsE-commerceVisual RecognitionRecommendation Models

About the role

Original posting from Muttdata via Lever

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€

Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Senior AI EngineerΒ Β to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

πŸš€ 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:

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset

πŸ” 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! πŸš€

Responsibilities πŸ€“:

Design and build production-grade AI agents and LLM-powered systems.

Develop multimodal data ingestion and structured information extraction pipelines for unstructured data sources.

Integrate AI agents with tools, APIs, data sources, and MCP.

Build evaluation and testing frameworks to improve accuracy and reduce hallucinations.

Own AI solutions end-to-end, from requirements and architecture to deployment and optimization.

Required Skills πŸ’»:

Strong Python experience building production-grade AI systems.

Hands-on experience with LLMs, AI Agents, and Agentic AI.

Experience with MCP, tool calling, and LLM orchestration frameworks.

Deep understanding of RAG architectures, knowledge graphs, and multimodal data parsing (e.g., audio, images, unstructured documents).

Experience with LLM evaluation, hallucination control, and testing.

Ability to design and deploy scalable AI solutions in production.

Advanced English and strong communication skills.

🎁 Perks:

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

Source: Muttdata careers (Lever)

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