or apply directly on Xtillion 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 19 days Xtillion 's roles stay open a median of 20 days
- Reposted
- No
- Salary listed
- No 0% of Xtillion 's roles list one
- Ghost-job risk at Xtillion
- moderate 1 stale, 0 reposted of 3 open
- Hiring momentum
- 3 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 Xtillion 's own greenhouse board since 2026-08-03. Full hiring picture for Xtillion .
About this role
As a Senior AI Engineer at Xtillion, you will design, build, and deploy intelligent systems that address real business challenges. Your work will involve creating AI-enabled applications, developing APIs and data pipelines, and ensuring the quality and reliability of these systems through model evaluation and testing. You will collaborate with clients and cross-functional teams to translate business needs into effective AI solutions.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
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 Xtillion as an employer.
What you need
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field
- 4+ years of professional experience in software engineering, data science, machine learning engineering, or a related technical discipline
- Demonstrated experience building and deploying AI-enabled or data-intensive production systems
- Experience with modern backend or data frameworks (e.g., FastAPI, Node.js)
- Strong experience with SQL and relational or analytical data systems
- Experience working in cloud environments (e.g., AWS, Azure, GCP)
Nice to have
- Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques
- Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)
- Experience with the ML lifecycle — experimentation, evaluation, monitoring, and deployment (MLOps)
- Experience designing and maintaining large-scale data pipelines, analytical platforms, or data-intensive systems
- Familiarity with containerization, orchestration, or Infrastructure as Code technologies (e.g., Docker, Kubernetes, Terraform)
What you get
- competitive salaries
- comprehensive benefits program including medical, dental and vision coverage
- paid time off
- 401(k) plan
Worth weighing
- no salary listed
- focus on AI solutions may require continuous learning in a rapidly evolving field
Summarised from Xtillion 's posting. Read the full original.
Listed by Xtillion on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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