Responsibilities
- Design, configure, and deploy AI agents using an advanced AI platform, ensuring optimal performance through continuous tuning and refinement.
- Integrate AI agents with third-party systems such as APIs, databases, and CRM platforms to enable smooth operational workflows.
- Enhance AI agent effectiveness by fine-tuning prompts and configurations, and resolve technical challenges in large-scale enterprise settings.
- Partner with clients and internal teams to collect technical specifications and convert business objectives into functional AI agent implementations.
- Deliver live demonstrations and develop proof-of-concept prototypes for potential clients, incorporating feedback to improve solution fit.
- Establish project timelines, define key milestones, and manage cross-team coordination to ensure timely delivery of deployments.
- Supply actionable insights to product and engineering teams by identifying functional gaps, developing internal tools, and shaping future platform enhancements.
- Work closely with product managers to define agent KPIs, iterate based on user input, and influence feature development that drives customer value.
- Act as a technical consultant to clients, advising on effective strategies for adopting and deploying AI agents.
- Offer expert guidance on system architecture, security protocols, and long-term scalability when implementing AI agent solutions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related discipline.
- Minimum of three years of professional experience in software development, consulting, or AI/ML engineering roles.
- Strong coding skills in Python and Golang, with a focus on writing maintainable and efficient code.
- Exceptional verbal and written communication abilities, paired with solid project coordination experience.
- Skilled in using data analytics, A/B testing, and performance metrics to guide technical decisions.
- Proven ability to operate effectively in collaborative, cross-functional teams focused on solving real-world customer challenges.
Nice to Have
- Understanding of core AI and machine learning principles.
- Direct experience working with large language models and prompt engineering methods is highly desirable.
- Solid grasp of AI agent architectures, including function calling and retrieval-augmented generation (RAG).
- Prior experience building or deploying AI agent systems is strongly recommended.
- Familiarity with cloud infrastructure platforms such as AWS, GCP, or Azure, and DevOps practices like CI/CD and containerization.
- Hands-on background integrating applications via APIs, webhooks, and data pipelines.
Benefits
- Comprehensive medical, dental, and vision insurance coverage
- Paid leave for new parents
- Monthly allowance to support personal health and wellness
- Stipend for setting up a home office
- Lunch reimbursement for employees working on-site
- Generous paid time off: 3 weeks annually in Canada
Work Arrangement
Remote (Worldwide) — US, Canada
Other
- Monthly Health & Wellness allowance
- Work from home office stipend
- Lunch reimbursement for in-office employees
- PTO: 3 weeks in Canada
- All official recruiting emails will originate from the @cresta.ai domain
- For verification of recruitment outreach, contact recruiting@cresta.ai
