Solutions Engineer
Maisa AI
About Maisa
maisa AI is an AI Research Lab, as well as AI SaaS (b2b) startup providing a horizontal platform that enables companies and knowledge workers to create and manage their Digital Workforce of Autonomous AI Workers. These workers operate 24/7, handling end-to-end jobs and mission-critical processes with unparalleled traceability, explainability and consistent quality. No hallucinations!
We're revolutionizing productivity through cutting-edge AI technology.
# Solutions Engineer
## maisa AI
### About maisa AI
maisa AI is revolutionizing the way developers and enterprises build agentic AI services. We've developed a groundbreaking platform that transforms stochastic generative AI models into deterministic, trustworthy tools. Our multi-step reasoning and execution engine provides full explainability and computable traceability, effectively solving the hallucination challenges that plague many AI systems.
### The Role
We're seeking a Solutions Engineer who will wear two crucial hats: helping enterprises successfully implement maisa AI's technology while also working closely with our product development team to productize customer requirements. You'll be both the technical backbone of our customer success team and a key collaborator in our platform's evolution.
### Key Responsibilities
- Technical Implementation
- Design and implement proof-of-concept solutions using maisa AI's platform
- Develop custom integrations and workflows for enterprise clients
- Create scalable solutions that showcase our multi-step reasoning engine
- Optimize prompt engineering strategies for specific use cases
- Build demonstrations of tool integration capabilities
- Product Development Collaboration
- Work directly with the engineering team to productize customer requirements
- Contribute to core platform development based on field experience
- Design and implement reusable components and features
- Help define and build developer-friendly APIs and SDKs
- Participate in technical planning and architecture discussions
- Bridge the gap between customer needs and platform capabilities
- Customer Success
- Provide technical guidance and best practices to enterprise customers
- Lead technical discovery calls and solution architecture sessions
- Debug and troubleshoot customer implementations
- Create custom demos tailored to specific industry needs
- Collaborate with customers to define success metrics and KPIs
- Platform Enhancement
- Transform customer-specific solutions into platform features
- Identify patterns across customer implementations for productization
- Develop and maintain platform integration templates
- Contribute to technical architecture decisions
- Help prioritize platform features based on market needs
- Provide feedback to the product team based on customer implementations
### Technical Requirements
- Programming Languages
- Strong proficiency in Golang and Python
- Familiarity with Rust for small-scale feature development
- Experience with web technologies and REST APIs
- System Architecture
- Deep understanding of event-driven architectures
- Experience with high-concurrency environments
- Hands-on experience with Kafka, EventBridge, or similar event streaming platforms
- Knowledge of distributed systems design
- Understanding of cloud platforms (AWS, GCP, Azure)
- AI/ML Experience
- Understanding of LLM capabilities and limitations
- Experience with prompt engineering and chain-of-thought approaches
- Familiarity with AI model deployment and integration
- Experience integrating AI services at scale
- Development & Operations
- Experience with modern CI/CD pipelines
- Proficiency with version control systems (Git)
- Understanding of containerization and orchestration
- Knowledge of monitoring and logging tools
- Experience with software development lifecycle
### What We're Looking For
- Proven track record of building scalable, event-driven systems
- Experience developing high-performance applications in Golang
- Comfort with multiple programming paradigms and languages
- Strong problem-solving and analytical skills
- Excellent communication skills with both technical and business audiences
- Experience in product development and feature implementation
- Ability to balance customer needs with platform scalability
- Background in customer-facing technical roles
### Ideal Qualifications
- Experience building and maintaining event-driven microservices
- Track record of implementing high-concurrency solutions
- Projects involving multiple programming languages (Go, Python, Rust)
- Previous experience in solutions engineering or technical consulting
- Background in enterprise software implementations
- Experience with AI/ML project delivery
- Understanding of enterprise security requirements
- Track record of successful customer implementations
- Experience with agile development methodologies
- Professional fluency in English (C1 level or higher) and business proficiency in Spanish (B2 level or higher)
- Experience working with international teams and Spanish-speaking markets
- Experience in platform development and API design
- Track record of converting customer needs into product features
### What We Offer
- Opportunity to shape the future of AI development
- Work with cutting-edge technology in the AI space
- Direct impact on customer success and product adoption
- Flexible work environment
- Competitive compensation package
- Professional development opportunities
- International work environment
### Impact You'll Have
- Enable enterprises to successfully implement trusted AI solutions
- Drive customer success through technical excellence
- Influence product development based on real-world implementations
- Help establish best practices for AI implementation
- Build scalable solutions that showcase our platform's capabilities
### About Our Technology
Our maisa AI KPU (Knowledge Processing Unit) enables:
- Multi-step reasoning with full explainability
- Tool integration at every reasoning step
- Simplified developer experience
- Deterministic AI outcomes
- Comprehensive traceability
Join us in helping enterprises successfully implement reliable and trustworthy AI solutions.
---
To apply, please submit your resume along with:
1. Examples of technical solutions you've implemented
2. Experience with AI/ML technologies and prompt engineering
3. Details of customer-facing projects you've delivered
