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Senior AI/ML Platform Engineer (AWS & Agentic AI)

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability.

  • Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization.

  • Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies.

From the employer’s posting
Provide production support for AWS API Gateway, Lambda services and cloud-based applications, including incident response, troubleshooting and release readiness. Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability. Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization.
Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability. Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization. Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies.
Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization. Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies. Work with OpenSearch vector databases and support retrieval and search optimization for AI applications.

What you’ll bring

All qualifications

Core experience

  • Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness)
  • Experience with Databricks and data engineering, with focus on pipeline reliability and data quality
  • Experience with Agentic AI frameworks
  • Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback
  • Practical experience building Generative AI / Agentic AI solutions, including prompt engineering, tool orchestration and guardrails
  • Experience optimizing response quality and retrieval/search relevance in AI applications
Qualification wording
Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness)
Experience with Databricks and data engineering, with focus on pipeline reliability and data quality
Experience with Agentic AI frameworks
Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback
Practical experience building Generative AI / Agentic AI solutions, including prompt engineering, tool orchestration and guardrails
Experience optimizing response quality and retrieval/search relevance in AI applications
Apply at Zallpy Digital

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 11, 2026today
Recorded sightings
1

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How this job compares

Time since we first saw it

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From 13,209 similar postings that came down. Coming down is not always a hire.

Zallpy Digital is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Databricks
  • SageMaker
Where the posting names them
- Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback - Strong Python skills - Experience with Databricks and data engineering, with focus on pipeline reliability and data quality
What you will do: - Provide production support for AWS API Gateway, Lambda services and cloud-based applications, including incident response, troubleshooting and release readiness. - Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability.
- Advanced English - Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness) - Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback
- Provide production support for AWS API Gateway, Lambda services and cloud-based applications, including incident response, troubleshooting and release readiness. - Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability. - Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization.
- Strong Python skills - Experience with Databricks and data engineering, with focus on pipeline reliability and data quality - Practical experience building Generative AI / Agentic AI solutions, including prompt engineering, tool orchestration and guardrails
- Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization. - Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies. - Work with OpenSearch vector databases and support retrieval and search optimization for AI applications.
- Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness) - Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback - Strong Python skills

Your next step

Complete your application on zallpy.inhire.app. The employer’s form will show what is required.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

At Zallpy, technology is created by curious, collaborative people who care about doing things well. If you enjoy environments where there is room to ask questions, test ideas, learn, and grow together, this opportunity is for you! 💚 

At Zallpy, a diverse environment and an inclusive culture are part of who we are. We build a safe and respectful space where different perspectives are welcomed and everyone has the opportunity to grow, contribute, and belong. 

We support your development at every stage of your journey. 
Come grow with us. 🚀 

We are looking for someone to join a team that thinks big, works with attention to detail, values partnership in everyday work, and shares responsibility. We believe in autonomy, the exchange of different experiences, and building solutions together. 

Here, growing means sharing knowledge, respecting different ways of thinking, and building relationships based on trust while delivering high-quality technology. 

If this way of working resonates with you, come join us. 

 

What you will do: 

  • Provide production support for AWS API Gateway, Lambda services and cloud-based applications, including incident response, troubleshooting and release readiness.
  • Maintain and improve Databricks metadata/tagging pipelines, ensuring data quality and operational reliability.
  • Develop and support Agentic AI solutions, including prompt engineering, tool orchestration, guardrails and response quality optimization.
  • Manage SageMaker environments and MLOps processes, including model deployment, monitoring, evaluation, retraining, versioning and rollback strategies.
  • Work with OpenSearch vector databases and support retrieval and search optimization for AI applications.
  • Partner with Data Science teams to implement model enhancements, feature improvements and productionization of machine learning solutions.
  • Monitor system performance, reliability and AI model health while driving continuous improvement across AI and data platforms.

What we are looking for: 

  • Advanced English
  • Solid experience supporting production environments on AWS, including Lambda and API Gateway (incident response, troubleshooting, release readiness)
  • Hands-on experience with Amazon SageMaker and MLOps practices: model deployment, monitoring, evaluation, retraining, versioning and rollback
  • Strong Python skills
  • Experience with Databricks and data engineering, with focus on pipeline reliability and data quality
  • Practical experience building Generative AI / Agentic AI solutions, including prompt engineering, tool orchestration and guardrails
  • Experience with OpenSearch and vector databases to support retrieval and search
  • Experience with CI/CD and cloud operations (monitoring, reliability, continuous improvement)
  • Experience working with Data Science teams to take machine learning solutions to production

Nice to have: 

  • Experience with Agentic AI frameworks
  • LLMOps practices, such as evaluation and monitoring of LLM-based applications
  • Experience optimizing response quality and retrieval/search relevance in AI applications
  • Experience managing the full machine learning lifecycle, from experimentation to retraining

Where you will work:

  • This is a 100% remote position, open to candidates living in Porto Alegre, RS.

Hiring models:

  • CLT

Benefits of being a Zallper:

🍽 Meal/Food Allowance 
Caju multi-benefit card (credit format), offering flexibility for everyday needs. (CLT only) * 

🏥 Health Plan – Unimed 
No waiting period or copayment for the holder. Possibility to include dependents (children, spouse, or stepchildren) with copayment. (CLT only) * 

🦷 Dental Plan – Uniodonto 
Affordable options to include dependents. (CLT only) * 

💪 Wellhub 
Access to gyms, physical activities, and wellness programs. 

🧘 Zenklub 
For CLT: Two free sessions per month and special rates for additional sessions. 
For Cooperative/Contractor: Special rates for sessions. 

🛡 Life Insurance 
More security for you and your family. (CLT only) * 

👶 Childcare Allowance 
Financial support for Zallpers with children from 4 months to 6 years old, according to internal policy. (CLT only) * 

🎁 Baby Zallpy 
A special gift to celebrate the arrival of new Zallpy babies. 

👥 Business Partner Support 
Close and human-centered support from our People & Culture team throughout your journey at Zallpy. 

🌍 Volunteer Internal Communities 
Diversity, Sports & Movement, and Technology. 

🎓 Educational Partnerships 
Discounts on undergraduate and graduate programs, professional courses, and language schools. 

✈️ Experiences & Development 
Participation in events, workshops, trips, and team-building activities. 

💼 Referral Program 
Refer talents to Zallpy and receive bonuses from R$2,500 to R$5,000. 

* Contractor / PJ: For these hiring models, the benefits above apply except for those marked with an asterisk (*), which are exclusive to CLT. In addition, we offer dedicated platforms to manage contractors, ensuring organization, transparency, and a structured experience throughout the entire journey. 😉 

 

Job ID:d6934a

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