Sr. AI Developer, Engineering
Skills
Computer ScienceBusinessCustomer ExperienceDatabasesOperating ModelsOptimizationPlatform Architecture
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Engineering Information Systems or equivalent practical experience
- 9+ years of experience in software engineering solution engineering technical consulting platform implementation or related engineering roles
- 5+ years designing and deploying production cloud-based AI data or enterprise application solutions
- Advanced programming skills in Python and at least one additional modern language such as JavaScript TypeScript C# Java or .NET
- Significant experience designing APIs data pipelines event-driven architectures enterprise integrations authentication and security frameworks distributed systems
- Hands-on experience with generative AI technologies including LLMs prompt engineering RAG embeddings vector databases agent orchestration AI evaluations observability and guardrails
- Experience with Git CI/CD automated testing containers and cloud-native development practices
- Strong communication consulting and stakeholder management skills with the ability to influence
Nice to have
- Client-facing
- Collaborative
- Strategic thinker
- Problem solver
- Detail-oriented
- Innovative
Day to day
- Lead technical discovery sessions with clients to uncover business goals, operational challenges, and implementation constraints.
- Design and build enterprise-grade AI solutions that combine generative AI workflow automation integrations and compliance controls.
- Develop production-ready cloud-native systems prototypes and workflows across APIs data pipelines containerized services and AI orchestration.
- Partner with cross-functional teams and communicate technical concepts clearly to technical and executive stakeholders.