Software Engineer - LLM Applications and AI Agents

Responsibilities

Join us in pushing the boundaries of AI technology and creating the next generation of intelligent systems that will transform data platforms. We are seeking a highly skilled and innovative Software Engineer to join our cutting-edge Agentic Engine team. As part of a division of the data platform team which focuses on LLM adoption, you will have the opportunity to work with state-of-the-art AI technologies and design architectures that apply LLMs to real-world industry challenges in data development platform areas. This role puts you at the forefront of AI innovation, shaping the future of intelligent systems.

Responsibilities:
- Stay abreast of the latest advancements in AI technologies, particularly in LLMs, Retrieval-Augmented Generation (RAG), and AI agents
- Develop expertise in data development platforms and drive technological innovation within the team
- Design and implement sophisticated architectural solutions for integrating LLM technology into business applications
- Collaborate with cross-functional teams to create scalable and efficient AI-powered systems
- Contribute to the development of AI agents capable of complex reasoning and task execution

Qualifications

Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related technical field;
- Minimum of 3 years of experience in software engineering, with a focus on AI/ML applications
- Demonstrated experience in complex system design and architecture, particularly in AI-driven environments
- Strong proficiency in at least one of the following programming languages: Python, Java, C++, Golang, or Rust
- Experience with big data processing and distributed computing systems
- Excellent problem-solving skills and ability to think creatively in a fast-paced environment
- Strong communication skills and ability to collaborate effectively in a team setting

Preferred Qualification:
- Solid understanding of machine learning concepts, natural language processing, and deep learning frameworks
- Advanced degree preferred

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $387600 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

Join us in pushing the boundaries of AI technology and creating the next generation of intelligent systems that will transform data platforms. We are seeking a highly skilled and innovative Software Engineer to join our cutting-edge Agentic Engine team. As part of a division of the data platform team which focuses on LLM adoption, you will have the opportunity to work with state-of-the-art AI technologies and design architectures that apply LLMs to real-world industry challenges in data development platform areas. This role puts you at the forefront of AI innovation, shaping the future of intelligent systems.

Responsibilities:
- Stay abreast of the latest advancements in AI technologies, particularly in LLMs, Retrieval-Augmented Generation (RAG), and AI agents
- Develop expertise in data development platforms and drive technological innovation within the team
- Design and implement sophisticated architectural solutions for integrating LLM technology into business applications
- Collaborate with cross-functional teams to create scalable and efficient AI-powered systems
- Contribute to the development of AI agents capable of complex reasoning and task execution

Qualifications

Qualifications

Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related technical field;
- Minimum of 3 years of experience in software engineering, with a focus on AI/ML applications
- Demonstrated experience in complex system design and architecture, particularly in AI-driven environments
- Strong proficiency in at least one of the following programming languages: Python, Java, C++, Golang, or Rust
- Experience with big data processing and distributed computing systems
- Excellent problem-solving skills and ability to think creatively in a fast-paced environment
- Strong communication skills and ability to collaborate effectively in a team setting

Preferred Qualification:
- Solid understanding of machine learning concepts, natural language processing, and deep learning frameworks
- Advanced degree preferred