This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're building the world's first viral agent. An AI purpose built for influencer marketing. Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention. What we're looking for: - Elite builders who want full ownership, not a narrow role. - This is not a “data engineer” job in the traditional sense. - Opportunity to own the full lifecycle: from raw video ingestion to the decisions made by autonomous AI agents in production. - Meaningful equity to people who want to define the future of agentic AI and own a real piece of it. Qualifications - Expert-level Python engineering with clean, modular, reusable code. - Experience building scalable data pipelines for unstructured data (video, audio, multimodal). - Strong understanding of video/sound processing (codecs, frame extraction, batch & streaming workflows). - Hands-on experience building AI agents: memory, planning, tool use, and execution loops. - Ability to design systems that go from raw data → insight → autonomous action. - Experience with embeddings, multimodal models, and LLM-powered workflows. - Strong grasp of performance, scalability, and reliability in data-heavy systems. - Comfortable owning architecture decisions end-to-end, from ingestion to production agents. - Familiarity with cloud infrastructure (AWS/GCP) and scalable compute setups. Requirements - Full-stack AI generalist: you don’t believe “that’s someone else’s job”. - Thrives in ambiguity and sees lack of structure as an opportunity to define standards. - Ships fast and values real-world impact over academic perfection. - Obsessed with turning data into leverage through automation and agents. - Wants to build systems that actually run the business, not just dashboards or models. - Bonus: Expertise in working with social media data. Benefits - Competitive equity in a venture-backed company shaping the future of music influencer marketing. - A seat at the table as we update and develop our AI Agent to power smarter matchmaking and campaign automation. - Access to elite tools, AI copilots, and a team that builds daily at top speed. - The opportunity to shape the foundation of Influur’s AI systems that empower creators and brands globally. Company Description We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Lead technical assessment of current AI automation infrastructure and identify optimization opportunities • Establish relationships with global finance leadership, IT architecture teams, and regional stakeholders • Conduct deep-dive analysis of existing SAP, Salesforce, and cloud platform integrations to identify AI enhancement opportunities • Mentor junior developers and establish technical standards for the India AI development team • Present strategic roadmap for AI-driven financial automation to senior leadership • Architect and lead development of enterprise-scale AI solutions for financial process automation (P2P, O2C, R2R cycles) • Design and implement advanced prompt engineering frameworks for complex financial document processing and analysis • Lead integration projects connecting AI models with SAP S/4HANA, Salesforce Financial Services Cloud, and multi-cloud environments • Establish CI/CD pipelines for AI model deployment with enterprise-grade security, compliance, and monitoring • Drive technical decision-making for cloud infrastructure scaling across AWS/Azure/GCP platforms • Collaborate with global teams to ensure 24/7 system reliability and performance optimization • Own end-to-end delivery of mission-critical AI automation platforms serving global finance operations • Lead technical presentations to C-suite executives, translating AI capabilities into strategic business value • Establish center of excellence for AI development practices, including code review standards, testing frameworks, and deployment protocols • Drive innovation in real-time financial analytics, predictive modeling, and intelligent reporting systems • Mentor and scale the India AI development team, establishing career development pathways • Lead vendor evaluations and technology partnerships for next-generation AI capabilities • Ensure compliance with global data governance, financial regulations, and security standards

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling. The backbone of all of our AI experiences is providing relevant context to the agent. As an AI Engineer focused on our search and context architecture, you’ll be responsible for building out key components of our agentic platform, including: - Agentic search and discovery subagents - High-scale, permissions-aware indexing systems If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context. We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including: - Experimenting with new agentic techniques for search, discovery, and context management - Designing and implementing the architecture for our scalable search and indexing pipelines - Working at the cutting edge of production AI applications deployed to real customers This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests. We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space. Note: We deeply respect and appreciate deep AI/ML research; this role is not that. While experience producing relevant journal publications is awesome, it won’t be part of this role’s deliverables. Qualifications - Experience building and measuring high quality search and recommendation systems - Experience getting AI/ML capabilities into production and serving real users - A lot of enthusiasm for applications of AI to real business problems - Understanding of core MLOps/SW Architecture concepts for modern ML-based applications - You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important - Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges - Interest in the data space, and a love of shipping great products and building tools that empower end users to do more - Experience maintaining a high quality bar for design, correctness, and testing Benefits - Competitive total rewards package, including market-benched salary & equity - Comprehensive health benefits - Flexible paid time off Salary Range The salary range for this role is: $225,000-$285,000. The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: Hex Privacy Policy .

• Design, develop, and deploy AI-driven applications and services, with a strong focus on Machine Learning and Generative AI use cases. • Build and integrate LLM-based solutions using frameworks such as LangChain, ensuring reliability, scalability, and performance. • Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions. • Implement data pipelines, model training workflows, and inference services across different environments. • Optimize models and systems for performance, cost, and scalability in production. • Ensure best practices related to model evaluation, monitoring, versioning, and responsible AI usage. • Contribute to technical discussions, architectural decisions, and proof-of-concepts for AI initiatives. • Stay up to date with emerging AI technologies, tools, and industry trends.