This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves building AI-native products and systems that fundamentally change how work gets done for our clients, ventures, and internal operations. - Architect agent-driven workflows that replace manual work. - Ship production systems that integrate LLMs and orchestration frameworks at scale. - Work directly with venture leads, client teams, and internal operators. - Have autonomy and access to ship work that compounds in value over time. What You'll Own - Ship AI-powered products and tools from zero to production. - Design, build, and deploy systems for internal operations and client-facing venture products. - Architect systems that scale beyond demos. - Work across the full stack, owning the entire system. - Collaborate directly with venture and client teams. - Stay current and opinionated about the AI tooling landscape. - Push the boundary on what's possible with AI. Qualifications - Strong software engineering foundation with experience building and shipping production systems. - Deep, hands-on experience building with LLMs, agent frameworks, and AI tooling. - Full-stack capability across frontend, backend, databases, APIs, and infrastructure. - Proven track record of AI projects you've built and shipped. - Product sense and judgment. - Familiarity with modern AI tooling and orchestration frameworks. Mindset & Traits - AI-pilled in the best way; sees the current moment as foundational. - Ships fast and iterates in public. - Thinks in systems, not features. - Comfortable with ambiguity and autonomy. - Cares about craft but not at the expense of impact. - Curious, opinionated, and willing to be wrong. Compensation & Logistics - This is a remote, full-time position open to candidates based in the US or Canada. - Compensation is competitive and commensurate with experience, including base salary and performance-based bonuses. - Some travel required for client engagements, team offsites, and collaborative working sessions. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.

• Designing, testing, and optimizing prompts and AI-assisted workflows (LLMs), including German-language use cases.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description An early-stage startup is redefining how financial research is conducted by creating a declarative orchestration layer akin to "Vercel for financial research." This backend engineering role focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows. - Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems - Make spawning new research pipelines seamless and scalable Qualifications - Strong Python programming experience - Proficiency with cloud infrastructure and serverless compute (e.g., Modal) - Familiarity with relational databases such as PostgreSQL - Experience integrating with LLM APIs (OpenAI, Anthropic, xAI, Google) or LLM frameworks (e.g., PydanticAI) - Ability to work autonomously and quickly adapt to evolving tech stacks - Excellent problem-solving skills and a builder’s mindset Requirements - Prior experience with financial data APIs (e.g., S&P, FactSet, SEC Edgar) - Familiarity with AI tooling APIs (e.g., Exa, Parallel) - Previous successful engagements with other clients in similar contractor roles Benefits - Contractor position (no medical/paid leave) - Full-time dedication (40 hours/week) Company Description Our client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: - Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge - Leveraging that work to build real-world AI systems that solve mission-critical priorities for companies

About: SimplilearnSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally. ABOUT THE ROLEAs an Instructor at Simplilearn, you will play a vital role in shaping the future of artificial intelligence and machine learning aspirants and professionals. Specifically, you will deliver content from our AI and Machine Learning Post Graduate Program, developed in collaboration with Microsoft. This program is designed to provide learners with comprehensive knowledge and hands-on experience in building intelligent systems using machine learning, deep learning, and neural networks. In this role, you will lead live online classes, mentor students through lab exercises and real-world projects, and facilitate discussions that connect AI/ML concepts to practical business applications. By breaking down complex theoretical ideas into easy-to-understand modules, you’ll help learners become proficient in the tools and techniques that drive AI innovation across industries. This is a part-time, remote role. All sessions are conducted live in a fully online, interactive format. RESPONSIBILITIES In this role, you will: - Create a positive, professional and inclusive learning environment, by: - Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn - Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences - Managing regular communication with students to align on progress,expectations, celebrate milestones and address concern areas - Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication - Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by: - Providing constructive and timely feedback to students in the cohort - Assisting in the management of Performance Action Plans for individual students who need additional support  - Serve as role model for students and as an ambassador for our brand, by: - Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public - Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources - Encouraging teamwork and seek feedback for continuous improvement QUALIFICATIONSYou are a great candidate for this role if you have: - 5+ years of hands-on experience in Machine Learning (ML) and Deep Learning (DL), including developing and deploying models using Python, TensorFlow, PyTorch, or other ML frameworks - A deep understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, neural networks, support vector machines, decision trees, and reinforcement learning - Solid background in mathematical foundations of machine learning, including probability theory, linear algebra, optimization, and statistical analysis - Experience with the full ML lifecycle, from data pre-processing, feature engineering, and model selection, to model evaluation and deployment in real-world applications - Proficiency with the ML stack, including libraries like Pandas, NumPy, Scikit-learn, Keras, and working knowledge of big data tools such as Spark or Hadoop (optional but preferred) - Experience working with real-world data, including handling structured and unstructured datasets, data cleaning, and performing exploratory data analysis (EDA) - Previous teaching or mentoring experience, ideally in an online learning environment - A passion for teaching and the ability to simplify complex AI/ML topics to make them accessible to learners at various skill levels - Strong communication and presentation skills (verbal and written), with a focus on engaging and student-centric teaching methods - Professionalism, integrity, and empathy in all learner and team interactions. Compensation:The expected compensation for this role is $50 - $55 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs. Not all candidates will qualify for the top of the salary range.