Senior Engineer, Applied AI

Reposted 13 Days Ago
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Palo Alto, CA
In-Office
Senior level
Software • Business Intelligence • Consulting
The Role
The Senior Engineer, Applied AI will enhance AI systems for task automation, model testing, and fine-tuning while collaborating with teams to integrate AI capabilities.
Summary Generated by Built In

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients and ensuring both receive ongoing support throughout the journey. The result is 10x more leverage, more time, and a greater impact on our clients' work and lives.

We are on a mission to build the best delegation and agentic automation platform in the world. We believe that the Human+AI combination will provide a superior experience to delegate complex tasks by combining the strengths of highly trained assistants leveraging highly trained AI models from the treasure trove of data Athena has.

Role Overview

This role will play a key role in Athena’s AI initiatives, focusing on agentic automation workflows and orchestration, RAG design, fine-tuning, and model testing/tuning for our AI systems. This role demands a blend of AI expertise and practical software engineering/ AI application skills to enhance the performance and functionality of our AI models, ensuring they deliver value to our clients through advanced and reliable applications.

Responsibilities:

  • Agentic Workflow creation: Implement task automation through the creation of smart AI Agent workflows and leveraging cutting edge Agent tooling like OpenAI SDK, CrewAI, MCP/A2A protocols etc

  • Retrieval-Augmented Generation (RAG): Implement and maintain RAG systems for relevance and accuracy of AI model use cases, ensuring high-quality output.

  • Model Fine-Tuning (SFT + RLHF): Lead efforts in fine-tuning AI models to specific domains or tasks, improving their performance and evaluation.

  • Data Collection Workflows: Influence the design decisions on creation data collection workflows to fully leverage the treasure trove of data Athena has to offer

  • Model Testing/Tuning: Design and execute rigorous testing protocols for AI models, and tune them to optimize for accuracy, speed, and relevance.

  • Prompt Engineering: Develop and optimize AI prompts that effectively guide model behavior to achieve desired outcomes in various use cases and understanding how various SOTA LLM models react under different prompts

  • Cross-Functional Collaboration: Work closely with data scientists, engineers, and product teams to integrate AI capabilities into Athena’s product offerings.

  • AI Best Practices: Stay at the forefront of AI developments, advocating for and implementing best practices in applied AI within the organization.

  • Knowledge Dissemination: Share AI expertise with the team, providing mentorship and contributing to the organization’s collective knowledge base.

Qualifications:

  • Experience: Proven track record in applied AI, machine learning, or a related field, with experience in prompt engineering, model fine-tuning, and testing/tuning.

  • Technical Proficiency: Strong coding skills in relevant programming languages such as Python, along with experience in AI frameworks and libraries.

  • AI Model Development: Deep understanding of AI model development processes, including training, validation, and deployment of machine learning models.

  • Problem-Solving: Exceptional problem-solving abilities, with a focus on delivering practical AI solutions that address real-world challenges.

  • Communication: Excellent communication skills, with the capability to articulate complex AI concepts to technical and non-technical stakeholders alike.

  • Collaboration: Demonstrated ability to work effectively in a multidisciplinary team environment, driving progress and innovation in AI applications.

  • Adaptability: Comfortable in a fast-paced, ever-changing landscape, with the ability to pivot between projects and priorities as needed.

  • Education: A master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field is highly desirable.

Equal Opportunity Employer: At Athena, we are deeply committed to fostering an inclusive and diverse workplace environment. We believe that diversity enriches our organization, enhances creativity, and drives innovation. We are dedicated to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We strive to create an environment where everyone feels valued, respected, and empowered to contribute their unique perspectives and talents. We actively promote diversity and inclusion through our hiring practices, employee development initiatives, and company culture, recognizing that it is essential for our success as a company and as a community.

Top Skills

Ai Frameworks
Crewai
Machine Learning
Mcp/A2A
Openai Sdk
Python
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The Company
HQ: San Juan
4,471 Employees
Year Founded: 2018

What We Do

Athena Executive Partners empower leaders to unlock time abundance through the art of delegation.

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