Senior Ai Engineer

Senior Ai Engineer

28 sep
|
Fullstack Labs
|
Cali

28 sep

Fullstack Labs

Cali

About FullStackFullStack is one of the fastest-growing software consultancy companies in the Americas.
We deliver transformational digital solutions to top general companies and Silicon Valley startups.
As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.We're Most Proud OfOffering life-changing career opportunities to talented software professionals across the Americas.Building highly-skilled software development teams for hundreds of the world's greatest companies.Having delivered hundreds of successful custom software solutions,



which have positively impacted the lives and careers of millions of users.Our 4.2-star rating on GlassDoor.Our client Net Promoter Score of 68, twice the industry average.The PositionWe're looking to hire a Senior AI Engineer to join our team.
You'll work with one of our incredible product teams to build and deliver a product to our clients.What We're Looking For5+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.Advanced English is required.Successful completion of a four-year college degree is required.Proven experience developing, optimizing, and deploying AI/ML models using Python and frameworks like LangChain.Strong hands-on experience with Large Language Models (LLMs), agent frameworks, and prompt engineering.Practical experience designing and implementing agentic AI systems with memory and context management.Expertise in Retrieval-Augmented Generation (RAG) techniques and working with vector databases (e.g., FAISS, Pinecone, Weaviate).
Ability to leverage LLMs to improve response accuracy, tone,



and multi-turn context awareness.Solid experience integrating and deploying AI/ML solutions into production environments.Proficiency with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
Familiarity with MLOps/LLMOps practices, including CI/CD for AI workflows, monitoring, and lifecycle management.Ability to work through new and difficult issues and contribute to libraries as needed.Ability to create and maintain continuous integration and delivery of applications.Forensic attention to detail.A positive mindset and a can-do attitude.Experience working on Agile / Scrum teams.Meaningful experience working on large, complex systems.Ability to take extreme ownership over your work.
Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.Ability to identify with the goals of FullStack's clients,



and dedicate yourself to delivering on the commitments you and your team make to them.Ability to consistently work 40 hours per week.What We OfferCompetitive Salary.Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).100% remote work.The ability to work with leading startups and Fortune 500 companies.Health policy with Sura 100% for you and up to 4 primary family members.English Classes.Food card.Ample opportunity for career advancement.Continuing education opportunities.FullStack is proud to be an equal opportunity workplace.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.Learn more about our Applicants Privacy Notice.

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