Job Title: Senior AI Engineer
Job Location: United States (Remote)
Duration: 12+ Months
We are seeking a Senior AI Engineer with 10+ years of experience building production AI systems and enterprise-scale data platforms. The ideal candidate will have deep expertise in developing AI agents on Databricks and modernizing data pipelines using Python, SQL, Apache Spark, and cloud-native architecture. This role requires strong experience designing scalable machine learning solutions and delivering reliable, production-ready AI and data engineering capabilities.
Key Responsibilities
- Design, develop, and maintain production-grade AI and machine learning solutions.
- Develop and implement AI agents and intelligent solutions using Databricks.
- Modernize and optimize enterprise data pipelines using Python, SQL, and Apache Spark.
- Design scalable, cloud-native architectures for AI and data engineering workloads.
- Build and deploy scalable machine learning solutions for enterprise use cases.
- Develop reliable and maintainable data and AI workflows across the enterprise.
- Collaborate with data engineers, AI/ML engineers, architects, and business stakeholders to deliver production solutions.
- Optimize AI, ML, and data processing workloads for scalability, performance, and reliability.
- Implement appropriate testing, monitoring, deployment, and operational practices for AI and data platforms.
- Troubleshoot complex AI, machine learning, and data engineering issues and drive solutions through implementation.
Required Qualifications
- 10+ years of experience in AI, machine learning, data engineering, or related technology disciplines.
- Strong experience building production AI systems and enterprise data platforms.
- Hands-on experience developing AI agents using Databricks.
- Strong proficiency in Python, SQL, and Apache Spark.
- Proven experience modernizing and optimizing enterprise data pipelines.
- Strong understanding of cloud-native architecture and scalable distributed systems.
- Experience designing and implementing scalable machine learning solutions.
- Strong understanding of production AI/ML engineering practices.
- Ability to work effectively across AI, machine learning, and data engineering teams.
2) Detailed Job Description:
Job Title: AI Engineer – GenAI / Agentic Development
Job Location: San Francisco, CA (Hybrid –2 days/week onsite)
Duration: 12+ Months
Overview
We are looking for an experienced AI Engineer to build and deliver production-grade AI/ML and Generative AI solutions. The ideal candidate combines strong software engineering fundamentals with hands-on experience developing AI applications, leveraging AI coding assistants, and implementing modern agentic development workflows.
This role requires someone who can work across Python and TypeScript/React, navigate multiple codebases and technology stacks, and independently drive technical solutions from concept through production.
Key Responsibilities
- Design, develop, and deploy production-grade AI/ML and Generative AI applications.
- Own AI engineering initiatives end-to-end, from technical design through implementation, testing, deployment, and optimization.
- Leverage AI coding assistants and agentic development workflows to improve engineering productivity and accelerate development.
- Develop full-stack applications using Python, TypeScript, and React.
- Design and implement scalable solutions using microservice architecture and modern software design patterns.
- Demonstrate strong ownership, prioritization, and execution of delegated technical tasks.
- Apply responsible AI principles related to bias, safety, reliability, and ethical AI development.
- Participate in Agile development practices and utilize tools such as Jira and Confluence.
- Communicate complex AI/ML concepts clearly to both technical and non-technical audiences.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Information Technology, or equivalent practical experience.
- 5+ years of software engineering experience, including at least 2+ years focused on AI/ML or Generative AI applications.
- Demonstrated experience delivering production AI systems with end-to-end ownership.
- Expert-level experience with AI coding assistants and agentic development workflows.
- Strong hands-on full-stack development experience with:
- Python
- TypeScript
- React
- Experience designing and developing microservices and understanding architectural patterns and trade-offs.
- Leadership mindset with experience mentoring engineers and influencing technical decisions.
- Experience working in Agile/Scrum environments with tools such as Jira and Confluence.
- Understanding of Responsible AI, including AI safety, bias, and ethical considerations.
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