Be aware: Accepting distant candidates from anyplace on the planet.
What we consider in
Pleased Shoppers
Our shoppers’ success defines our success. We focus relentlessly on their long-term objectives, making choices that drive lasting affect whereas making certain clear, collaborative communication. We’re dedicated to shared progress, transparency, and the belief that comes from aligning our imaginative and prescient with theirs. Not like conventional companies, we’re not simply service suppliers; we’re companions devoted to sustainable, high-value outcomes.
Distinctive Merchandise
We don’t simply create merchandise; we deliver the long run into the current by crafting essentially the most intuitive, groundbreaking, and refined AI-driven experiences. With six years of innovation and recognition by over 140 awards, we all know what it takes to set new requirements and form potentialities that didn’t exist earlier than. By way of cross-disciplinary collaboration, we consistently problem and encourage each other, pushing to create options that aren’t simply higher however really distinctive.
Pleased Group
Our crew is our basis. We glance out for each other, every striving to be the strongest hyperlink in a series of extraordinary expertise. We’re devoted to serving to one another develop, pushing past perceived limits, and trusting in our collective drive. Collectively, we obtain greatness.
What you may do
- Lead a crew of builders constructing cutting-edge Generative AI options for mid-market corporations
- Architect and oversee the implementation of full-stack AI functions that ship measurable ROI
- Mentor crew members and foster a tradition of knowledge-sharing and technical excellence
- Drive technical decision-making whereas collaborating with stakeholders to align options with enterprise objectives
- Consider and implement new applied sciences and finest practices within the quickly evolving GenAI house
What You may Construct
- Enterprise-grade AI functions that remedy complicated enterprise challenges
- Scalable architectures for LLM-powered functions
- Environment friendly knowledge-sharing and mentoring processes
- Technical requirements and finest practices documentation
- Customized RAG implementations for particular industries
- Excessive-performance full-stack functions with AI capabilities
- Group tradition centered on technical excellence and steady studying
Core Tasks
- Information architectural choices for complicated AI-powered functions utilizing TypeScript, React, and Node.js
- Lead the design and implementation of strong RAG programs and LLM integration patterns
- Oversee the event of scalable backend providers and information pipelines
- Set up technical requirements and finest practices for the crew
- Conduct code evaluations and supply constructive suggestions to crew members
- Bridge communication between technical groups and enterprise stakeholders
- Determine and mitigate technical dangers early within the growth course of
- Coach and mentor crew members to speed up their technical development
- Contribute to technical documentation and knowledge-sharing initiatives
Required Expertise & Expertise
- 7+ years of software program growth expertise, with 3+ years in technical management roles
- Sturdy proficiency in TypeScript, React ecosystem, and Node.js
- Demonstrated expertise constructing and deploying production-grade LLM functions
- Deep understanding of RAG programs and LLM integration patterns
- Confirmed monitor document of main profitable technical initiatives and mentoring builders
- Expertise with:
- Trendy React meta-frameworks (Subsequent.js or Remix)
- OpenAI or Claude APIs for structured information extraction and streaming
- SQL databases (significantly PostgreSQL)
- Full-stack software structure
- Sturdy problem-solving talents and system design expertise
- Excellence in technical communication and data switch
- Capacity to stability technical excellence with enterprise targets
Good to Have
- Expertise working in an company or consulting atmosphere
- Python growth expertise, significantly in ML/AI contexts
- Familiarity with a number of LLM suppliers and APIs
- Cellular growth expertise
- Background in non-public fairness or enterprise software program
- Expertise with agile methodologies and crew management
- Public talking or technical writing expertise
Why Be part of Us
- Be on the forefront of AI innovation and assist form the way forward for enterprise
- Work and achieve expertise in a global crew and with a number of the most enjoyable US-based shoppers from numerous industries
- Be a part of a rising, award-winning crew that values creativity, collaboration, and steady studying
- Versatile work hours
Very Large Issues as an organization is dedicated to offering equal employment alternatives and strives to create a welcoming, various, and inclusive atmosphere for all of our workers as a result of we worth all individuals, and we consider various views are attention-grabbing and demanding to our objectives as an organization.