AI Engineer

🔥 1 minute ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design, architect, and deploy advanced Generative AI solutions in production • Contribute to production-grade AI solutions using LLMs, transformer-based models, RAG pipelines, and agentic systems • Design, develop, and optimize multi-step AI agents with tool/API invocation, reasoning chains, and state management • Support deployment and optimization of AI-powered applications across AWS, Azure, or GCP • Contribute to prompt engineering, evaluation frameworks, and model performance monitoring • Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls • Collaborate with Data Scientists, Software Engineers, Product stakeholders, and MLOps teams • Take AI solutions from prototype to full production • Share knowledge and support engineers in developing modular, maintainable Python code • Contribute to experimentation strategies, define KPIs, and promote data-driven decision-making

🎯 Requirements

• Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience) • Strong expertise in transformer-based models and LLM architectures • Proven experience designing and deploying applied machine learning or generative AI systems to production environments • Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools • Advanced proficiency in Python and production-grade coding practices • Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures • Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment • Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to location in LATAM