AI Engineer

🔥 2 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.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

• Contribute to the architecture and implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems • Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management • Support the deployment and optimization of AI-powered applications across AWS, Azure, or GCP, ensuring scalability, reliability, and cost-efficiency • Contribute to best practices for prompt engineering, evaluation frameworks, and model performance monitoring, including latency, grounding, factuality, and cost • Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls • Collaborate with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production • Share knowledge and support other engineers in developing high-quality, modular, and maintainable Python code • Contribute to experimentation strategies, help define KPIs, and promote data-driven decision-making across AI initiatives

🎯 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 (we are AWS Partners), Databricks, and Snowflake • Access to AI learning paths to stay up to date with the latest technologies • Study plans, courses, and additional certifications tailored to your role • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills • English lessons to support your professional communication • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs to help shape your path • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options to help you strike the right balance • Other benefits may vary according to your location in LATAM

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