As a Software Development Engineer on the Evaluations Team youll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your tasks will include:Designing and developing platform features for helping solution developers to experiment and identify optimal configurations for delivering high quality GenAI and analyzing the performance of GenAI applications and actively collaborating with the team in driving performance improvementsTranslating the latest research into reliable and scalable evaluations that can deliver high quality experiences for our engaging in all aspects of feature development from ideation and experimentation to deployment and complex technical topics effectively to a diverse audience.
- Bachelors in Computer Science Artificial Intelligence Machine Learning or a related field or experience
- 2 years of software engineering experience
- Programming skills in Python
- Experience developing scalable and robust services with FastAPI or similar frameworks.
- Experience in Machine Learning with a particular emphasis on Large Language Models (LLMs) Retrieval Augmented Generation (RAG) or GenAI Agents
- Experience with evaluating and optimizing Generative AI platforms or applications
- Experience with GenAI RAG and Agent evaluation frameworks like RAGAS DeepEvals OpenEvals AgentEvals or OpenAI Evals
- Familiarity with LLM Observability techniques and best practices
- Proven ability to comprehend interpret and apply cutting-edge research into tangible applications
- Proven problem-solving and leadership abilities with the capacity to steer the teams research and build practical applications in a collaborative and fast-paced environment
- Customer-focused with strong business acumen capable of translating business needs into impactful technical solutions and a proven history of successfully shipping products that drive significant outcomes
- Experience with cloud platforms like AWS GCP or Azure
- Knowledge of containerization and orchestration tools like Docker and Kubernetes
- Creative collaborative and project focused with an ability to work hands-on in multi-functional teams
- Excellent communication skills with the ability to communicate with all stakeholders effectively including senior leadership
- Masters in Computer Science Artificial Intelligence Machine Learning or a related field
As a Software Development Engineer on the Evaluations Team youll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your tasks will include:Designing and developing platform features for helping solution developers to experiment and identify optim...
As a Software Development Engineer on the Evaluations Team youll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your tasks will include:Designing and developing platform features for helping solution developers to experiment and identify optimal configurations for delivering high quality GenAI and analyzing the performance of GenAI applications and actively collaborating with the team in driving performance improvementsTranslating the latest research into reliable and scalable evaluations that can deliver high quality experiences for our engaging in all aspects of feature development from ideation and experimentation to deployment and complex technical topics effectively to a diverse audience.
- Bachelors in Computer Science Artificial Intelligence Machine Learning or a related field or experience
- 2 years of software engineering experience
- Programming skills in Python
- Experience developing scalable and robust services with FastAPI or similar frameworks.
- Experience in Machine Learning with a particular emphasis on Large Language Models (LLMs) Retrieval Augmented Generation (RAG) or GenAI Agents
- Experience with evaluating and optimizing Generative AI platforms or applications
- Experience with GenAI RAG and Agent evaluation frameworks like RAGAS DeepEvals OpenEvals AgentEvals or OpenAI Evals
- Familiarity with LLM Observability techniques and best practices
- Proven ability to comprehend interpret and apply cutting-edge research into tangible applications
- Proven problem-solving and leadership abilities with the capacity to steer the teams research and build practical applications in a collaborative and fast-paced environment
- Customer-focused with strong business acumen capable of translating business needs into impactful technical solutions and a proven history of successfully shipping products that drive significant outcomes
- Experience with cloud platforms like AWS GCP or Azure
- Knowledge of containerization and orchestration tools like Docker and Kubernetes
- Creative collaborative and project focused with an ability to work hands-on in multi-functional teams
- Excellent communication skills with the ability to communicate with all stakeholders effectively including senior leadership
- Masters in Computer Science Artificial Intelligence Machine Learning or a related field
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