Senior Staff Software Engineer – AI/ML

Celigo, a fast-growing Silicon Valley startup, is revolutionizing the cloud-based application integration landscape with our integrator.io iPaaS platform. We are looking for a talented engineer to help lead our internal AI/ML initiatives, and drive innovation throughout our integration platform.

Responsibilities:

• Help lead the charge at Celigo evaluating, implementing and deploying some of the hottest AI/ML frameworks like OpenAI, LangChain, Pinecone, Spacy, Hugging Face, etc. 
• Develop and refine NLP models using the OpenAI platform to meet specific use cases and requirements.
• Utilize machine learning techniques to analyze and interpret data.
• Implement and deploy Microservices/ML Pipelines on K8S and AWS Platforms. 
• Solutions are delivered via a fully automated CI/CD pipeline.
• Lead by example on building completed automated pipelines with focus on test automation.
• Work closely with product managers and business stakeholders to understand their requirements and develop AI/ML solutions that meet their needs, balancing technical feasibility with business objectives.
• Help ensure the security and privacy of user data by implementing appropriate safeguards, and staying informed on industry best practices.

Qualifications:

• 10+ years of total experience in software product development, with at least 4 years of relevant technical expertise in designing & developing solutions around AI/ML, NLP, data science, deep learning, etc.
• Experience building and supporting multi tenant SaaS applications at scale.
• An Engineering degree with strong experience in product development or equivalent job experiences with a proven track record of successful outcomes.
• Hands-on experience developing AI/ML models in real-world environments and integrating AI/ML using cloud-native or hybrid technologies into large-scale enterprise applications is a plus
• Expertise in Python Programming with hands-on experience and comfortability with Node.js.
• Good with both SQL and NoSQL databases and technologies.
• Good understanding of Data Structures, Algorithms and Performance considerations.
• Excellent communication skills both verbal and written.