or apply directly on Globality, Inc.'s site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days Globality, Inc.'s roles stay open a median of 42 days
- Reposted
- No
- Salary listed
- Yes 67% of Globality, Inc.'s roles list one
- Ghost-job risk at Globality, Inc.
- moderate 3 stale, 0 reposted of 12 open
- Hiring momentum
- 15 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Globality, Inc.'s own greenhouse board since 2026-08-03. Full hiring picture for Globality, Inc..
About this role
As a Sr. AI Software Engineer at Globality, you will design and implement scalable AI platforms and developer tools, focusing on integrating MLOps tools and building interfaces for large language models. Your role will involve collaborating with data teams to create ETL pipelines, ensuring platform reliability through monitoring, and staying updated on trends in Generative AI. You will also be responsible for defining testing methodologies and maintaining documentation for ethical AI usage.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Globality, Inc. as an employer.
What you need
- Bachelor’s or Master’s in Computer Science, Engineering, or related field
- 4+ years of experience building production-grade AI/ML platforms or developer-centric AI tools
- Strong software engineering skills in Python and familiarity with Java/Go and OOP/data structures
- Familiarity with LLM prompting design and agentic workflows
- Experience building and deploying on cloud platforms (AWS, Google Cloud, Azure) and familiarity with Docker and Kubernetes
- Solid understanding of MLOps principles: CI/CD, model versioning, monitoring, metrics
Nice to have
- Experience with large-scale data pipelines (e.g., Apache Spark, Kafka)
- Certifications in cloud platforms, ML engineering, or specific AI tooling
- Awareness of AI ethics, biases, fairness, and data privacy protocols
Worth weighing
- In-office requirement of 4 days a week in Palo Alto may not suit remote work preferences
- Salary range provided is broad and actual compensation may vary significantly based on experience and skills
Summarised from Globality, Inc.'s posting. Read the full original.
Listed by Globality, Inc. on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.