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Senior AI Engineer

at Jobr

Guadalajara, Jal., Mexico, remote, senior

seen 4d ago

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  • Azure
  • Generative AI
  • CrewAI
  • Azure Prompt Flow
  • LangChain
  • Transformer-based models
  • LLM
  • OpenAI API
  • Containerization
  • GCP
  • RAG pipelines
  • CI/CD
  • AWS Bedrock Agents
  • AWS
  • LlamaIndex
  • Python

About the role

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As an AI Engineer, you will be at the forefront of groundbreaking technological advancements. AI Engineers are responsible for developing and implementing artificial intelligence solutions that drive innovation across industries such as healthcare, finance, and robotics. With a strong foundation in machine learning, neural networks, and data modeling, AI Engineers create intelligent systems that can interpret complex data, learn from patterns, and make decisions. The demand for AI Engineers is rapidly growing, with companies seeking individuals who can advance AI technologies to new levels. AI Engineers typically earn a yearly salary range of $90,000 to $150,000 depending on experience and location. To excel in this field, aspiring AI Engineers should master tools such as TensorFlow, PyTorch, scikit-learn, and have strong programming skills in Python or Java. Despite high demand, work-life balance in this field can be challenging, given the fast-paced nature of technology development.

Not looking for ai engineer roles? Jobr also lists openings for data scientist , ai research scientist , machine learning specialist , and artificial intelligence architect — all sourced directly from company career portals and updated daily.

Jobr also lists ai engineer openings by country, including United States , Canada , United Kingdom , Australia , New Zealand , and Ireland — all sourced directly from company career portals and updated daily.

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AI Engineer

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Workplace Type

Remote

Digital Talent, Technology, Artificial Intelligence, Data Science, Data Science, Data Engineering, and Business Intelligence

We are looking for a Senior AI Engineer to help design, architect, and deploy advanced Generative AI solutions in production. This role will contribute to the development of LLM-based systems, agentic workflows, and applied AI initiatives, while partnering closely with Engineering, Product, and MLOps teams.

The ideal candidate combines strong hands-on technical expertise with solid software engineering practices, and is comfortable taking AI solutions from design through production while balancing scalability, reliability, and business impact.

Read from jobr.pro, last seen 4d ago.

* 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 cloud environments (AWS, Azure, or GCP), ensuring scalability, reliability, and cost-efficiency.

* Contribute to best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).

* Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.

* Collaborate cross-functionally 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.

What they are looking for

Senior Level

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* 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.

What comes with it

📚 Learning Opportunities:

* 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.

👩‍🏫 Mentoring and Development:

* Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

* 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. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

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