Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable full-stack solutions integrating generative AI into enterprise sales workflows.
Lead technical architecture decisions spanning front-end, back-end, APIs, data services, integrations, and cloud infrastructure to ensure security, scalability, and reliability.
Collaborate across product, AI/ML, data, security, and engineering teams to deliver globally used Sales AI applications and mentor engineering teams.
Minimum Requirements
10+ years of professional software engineering experience including production application development and operation.
Proficiency in full-stack development technologies such as Python, Java, JavaScript, React, Node.js or similar.
Experience designing APIs, distributed systems, enterprise integrations, scalable cloud applications, and AI/ML integrations.
Bachelor’s degree or equivalent in Computer Science, Engineering, or related technical field encouraged.
Ideal Candidate Profile
Experienced in building generative AI applications including AI assistants, retrieval-augmented generation, and agentic workflows.
Skilled in integrating AI models and data pipelines into production environments with expertise in AI services, vector databases, prompt engineering.
Familiar with software architecture best practices including observability, security, DevOps, microservices, and cloud infrastructure management.