3 Aiml Knowledge Jobs

As a Developer at our company, you will have the opportunity to contribute to building something significant. We value skills and passion over formal education or previous experience. If you have the talent, drive, and a mindset focused on execution, we want you on our team. It's important to note that this is not a salaried position initially; instead, it is equity-based. You will play a crucial role as a founding team member, not just an employee. Your responsibilities will include actively participating in the development of Hustlr AI from its Minimum Viable Product (MVP) stage to a full Software as a Service (SaaS) product. Our work environment may seem chaotic, but it is a chaos with a clear mission. We value honesty and direct communication - no sugar-coating, both with our users and within the team. We prioritize real progress over empty achievements; every action should contribute towards our goals. Having an ownership mindset is crucial in our team - we expect you to take full responsibility for your work without constant guidance. Speed and adaptability are key traits; we believe in quick iterations, learning from failures, and continuous improvement. Your skills in full-stack development, including React/Next.js, Node.js, and Firebase/DB, as well as knowledge in AI/ML technologies such as working with LLMs like OpenAI, fine-tuning, and various AI models are essential. A product-oriented mindset is valued, focusing not only on code but also on user experience, scalability, and product-market fit. While not mandatory, skills in cloud deployment (AWS/GCP/Azure, Docker), experience in startups or SaaS businesses, and a good sense of UI/UX design are considered advantageous. We are more interested in your abilities and dedication than your past experiences. If you are passionate about building something impactful and possess the necessary skills, we encourage you to apply. However, if you lack the drive and commitment to contribute to something big, this opportunity may not be the right fit for you.,

Your role will be to lead as the VP of Agent Engineering within our AI Sales Engineering team. You will be responsible for driving client-facing engagements, designing intelligent agent solutions, and ensuring sales success through technical alignment. Your expertise in AI/ML, business acumen, and client guidance will be crucial in helping clients adopt intelligent agents that surpass traditional rule-based bots. As the VP of Agent Engineering, you will: Lead Technical Sales Strategy: Take ownership of crafting and communicating the technical sales narrative for intelligent agents to enterprise clients. Solution Architecture: Develop and present intelligent agent architectures that showcase true reasoning, autonomy, and value. Client Engagement: Work closely with prospects and clients to identify their requirements, conduct discovery sessions, and recommend suitable agent-based solutions. Evangelize Agent Intelligence: Set apart Mobius's agent capabilities by highlighting genuine intelligence, contextual reasoning, and adaptive behavior. Cross-functional Leadership: Collaborate with product, engineering, and business teams to shape offerings that address real-world enterprise needs effectively. Proof of Concept Design: Develop compelling demos and prototypes to demonstrate the potential of AI agents in practical scenarios. Sales Enablement: Provide technical training and support to sales teams by offering content, playbooks, and success stories related to AI agents. Qualifications: - Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Possess over 10 years of experience in sales engineering, solution architecture, or technical consulting, preferably within AI or enterprise SaaS. - Demonstrate a deep understanding of LLMs, cognitive agents, machine reasoning, and real-time decision systems. - Showcase a track record of effectively selling and explaining cutting-edge technology with clarity and confidence. - Have familiarity with frameworks such as LangChain, ReAct, AutoGPT, and open-source agent stacks. - Exhibit strong skills in client communication, executive presentations, and translating technical concepts into tangible business outcomes. If you resonate with our commitment to excellence, diversity, and inclusivity, and thrive in a vibrant and dynamic work environment, we encourage you to apply for this role as the VP of Agent Engineering.,

The Business Intelligence Manager will play a crucial role in driving business growth and leading strategic improvement initiatives within the pharmaceutical organization. This position involves close collaboration with cross-functional teams to identify and analyze business needs, discover opportunities, and develop data-driven solutions. By leveraging advanced analytics and actionable insights, the Business Intelligence Manager will enhance decision-making, optimize processes, and achieve impactful business outcomes. Key Responsibilities: - Business Needs Assessment: Collaborate with stakeholders to comprehensively understand and evaluate business needs, translating them into clear, actionable requirements for innovative solutions. - Advanced Data Analysis: Utilize advanced tools to analyze large and complex datasets, uncover trends, generate actionable insights, and drive informed business decisions. - Solution Design and Development: Develop compelling business cases and proposals for solutions, including process enhancements, technology integrations, and organizational optimizations to support business growth. - Stakeholder Collaboration: Establish and maintain strong communication channels with stakeholders, including senior leadership, to ensure alignment, transparency, and buy-in throughout the solution development process. - End-to-End Project Management: Lead projects from inception to completion, ensuring timely delivery, adherence to budgets, and alignment with strategic goals. - Continuous Process Optimization: Identify and implement opportunities for streamlining processes to enhance efficiency, effectiveness, and overall operational performance. - Regulatory Adherence: Ensure that all proposed and implemented solutions comply with industry standards and regulatory requirements, such as FDA guidelines, to safeguard organizational integrity and compliance. Requirements: 1. Education: - Bachelor's degree in Mathematics, Engineering, Business Administration, or a related field. - MBA or an advanced degree in Business Analytics, Data Science, or related fields is preferred. - Additional certifications in analytics tools or methodologies (e.g., Power BI, SQL, or Python) are advantageous. 2. Experience: - 35 years of experience in the pharmaceutical industry, preferably in a business intelligence, data analytics, or related role. - Proven track record in delivering actionable insights and driving data-driven decision-making in sales and marketing contexts. 3. Skills: - Analytical Expertise: Proficient in handling and analyzing large datasets to uncover trends and opportunities. - Technical Proficiency: Skilled in tools such as Power BI, Tableau, Google Workspace Excel, SQL, Python, and data visualization frameworks. - AI/ML Knowledge: Familiarity with advanced analytics, predictive modeling, and machine learning algorithms is beneficial. - Pharmaceutical Knowledge: Comprehensive understanding of industry trends, regulations (e.g., FDA), and sales force effectiveness metrics. - Problem-Solving Ability: Strong critical thinking skills with a solution-oriented approach to complex business challenges. - Communication Skills: Excellent ability to communicate insights effectively to diverse audiences, including senior leadership, through presentations and dashboards. - Project Management: Demonstrated capability to manage multiple priorities in a fast-paced environment, delivering on time and within budget. - Stakeholder Collaboration: Ability to work cross-functionally and foster alignment among teams to achieve common objectives.,