AI Technology Architectural Lead
2 weeks ago
**Overview of Deep Abacus**
We are a pioneering AI solution provider dedicated to crafting innovative AI-driven agents and chatbots. Our cutting-edge platform combines state-of-the-art technology with expertise and a quality-driven approach to deliver impactful solutions. Our mission is to empower businesses and visionaries to develop and launch AI-driven products efficiently and effectively.
As a key member of our dynamic, fast-paced team, you will have the unique opportunity to shape both our product and company's future. This role requires adaptability, ownership, and a passion for innovation in AI technology.
**Key Responsibilities:**
- Develop a production-grade API leveraging the Python ecosystem, ensuring scalability and reliability.
- Implement advanced agent and chatbot behaviors using prompt engineering, heuristics, metrics, and data-driven methods.
- Design and build intuitive web-based user interfaces using the ReactJS framework, enhancing user experience.
- Optimize deployment pipelines and enhance the quality of client deliverables, meeting high standards.
- Troubleshoot and resolve system outages or failures as they occur, minimizing downtime.
- Diagnose and address complex production AI challenges, creating high-quality, real-world AI solutions.
**Tech Stack:
- Programming: Python, JavaScript
- Infrastructure: Linux, Docker, MongoDB, RabbitMQ, GCP
- AI Tools: OpenAI, Anthropic, Groq, Mistral, Gemini, Cohere, ElevenLabs, DeepGram, StabilityAI
- Integrations: Twilio, Stripe, Sendgrid, Auth0, Atlassian, Ngrok
**Requirements for Success:**
- A systems-level approach to problem-solving, particularly in unsolved challenges within AI.
- Passion for advancing human-AI interaction and making AI a trusted, impactful partner.
- A desire to leave a meaningful mark on the AI industry through scalable, high-impact technology.
- Experience: 8+ years in software engineering, with a strong background in reliable, scalable software solutions.
- A strong work ethic, dedication, and commitment to building something exceptional.
- Prior experience in a startup environment and comfort with ambiguity.
- A vision for the future of AI-human collaboration and a desire to help shape it.
$250,000 - $350,000 per year, depending on experience and qualifications.
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