Requirements:
A proactive builder's mindset: a desire to automate workflows, take end-to-end ownership, and drive continuous improvement
Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, or similar
4+ years of relevant hands-on experience in developing and scaling production-grade GenAI architectures using modern LLM stacks
Proficiency with relevant tools, processes, and frameworks, such as: LangChain, CrewAI, OpenClaw, PyTorch, Keras, NLP, Vector databases, RAG, building MCPs and Skills
Coding fluency in Python and at least one other language (TypeScript/JavaScript, Go or Rust)
Deep understanding of cloud and cloud-native principles, including hands-on experience with major Cloud environments (AWS, GCP, Azure) and containers/Kubernetes
Proven ability to conduct deep technical investigations - analyze complex systems, cloud environments, source code, and documentation, and synthesize the collected data into clear insights
Passion and curiosity to stay current of industry trends and technological advancements
Great communication skills and proven ability to serve as a liaison, coordinating and driving action across diverse org-groups (IS, IT, data science) to ensure effective enterprise-wide systems integration
Excellent English communication (written and verbal)
Comfortable in a dynamic, fast-paced company
Significant Advantages:
Full-stack web development experience
3+ years of relevant hands-on experience in setting up, configuring, and using a broad range of industry DevSecOps technologies (ex. Kubernetes, JFrog Artifactory, GitLab, SonarQube, coding agents, security vulnerability scanners, GitHub Actions).

Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.

Requirements:
To thrive in this role, youll need:
Bachelors degree in Computer Science, Engineering, Information Systems, or a related field.
2+ years of hands-on experience as a Salesforce implementer/business analyst.
Hands-on experience with Salesforce flows.
Strong understanding of the Salesforce platform, architecture, and implementation best practices.
Experience with Salesforce integrations using REST and SOAP APIs.
GenAI knowledge and enthusiasm: prompt engineering, LLM models and MCPs and AI-assisted development (e.g., using LLMs for code generation).
Strong problem-solving and analytical skills, with a focus on understanding and improving business processes.
Excellent communication skills and the ability to work effectively in a team environment.
Strong can-do attitude, passion for innovation, and a high level of self-learning ability.
Nice to Have:
Development experience (Apex, JavaScript, Python, or similar).
SQL and SOQL knowledge.
Knowledge of other new-gen technologies and platforms.
Salesforce certifications.
How youll make an impact:
Design and develop custom Salesforce solutions - including Flows, Lightning Components and Apex classes/triggers - leveraging GenAI tools to accelerate and support your coding work.
Architect and implement GenAI powered solutions on Salesforce, Google platform and other business application platforms to meet business requirements and improve existing processes.
Integrate Salesforce with third-party systems, GenAI services, and APIs using REST and SOAP.
Work closely with global business users to understand their processes, challenges, and goals, and translate them into technical solutions.
Provide technical expertise and architectural guidance to ensure scalability, reliability, and performance of the Salesforce environment.
Maintain code quality and ensure best practices for development, implementation, and deployment are followed.
Continuously learn and keep up-to-date with Salesforce platform updates, GenAI advancements, and emerging technologies.

Requirements:
Proven Management & Leadership Experience: 5+ years managing a group of technical teams or individuals.
Deep AI Tech-Savviness & Scouting: 2+ years working closely with AI concepts. Must have a strong practical understanding of GenAI, prompt engineering, and agentic orchestration (context layers, tools, guardrails), with a proven ability to evaluate external tools.
Entrepreneurial Mindset & "Can-Do" Drive: Track record of taking full ownership of ambiguous initiatives and independently turning a high-level vision into execution.
Organizational Scaling & Strategic Alignment: Track record of scaling engineering/innovation groups, aligning resources with business goals, and working with platform engineering at scale.
Exceptional Communication: Outstanding skills to listen to internal needs on one hand, and articulate complex AI roadmaps to non-technical global executives on the other.
Experience in Global SaaS/High-Tech Companies: Highly preferred. Experience navigating fast-paced, evolving environments focused on rapid development and agile methodologies.

Requirements:
Proficient in Python - at least 5 years of production-grade code development-
strong familiarity with LLM tooling frameworks (LangChain, LlamaIndex, Haystack, etc)
Is involved in AI communities and surveys the landscape for new AI tools, technologies, papers, and projects
Familiar with state-of-the-art RAG technologies
Has a deep understanding of the state-of-the-art AI pipelines and technologies
Has built and deployed AI-driven pipelines or applications into production - Must
Understand modular pipelines and CI/CD integrations.

Requirements:
5+ years of experience as a Research Scientist or Algorithm Developer within world-class AI labs or high-growth GenAI startups
Ph.D. or Masters degree with honors in computer science, data science, statistics, or a highly quantitative field from a top-tier institution
Expert-level proficiency in PyTorch and deep learning training/inference optimization
Hands-on experience training, fine-tuning, or optimizing large-scale LLMs in research or production environments
Advanced programming skills in Python and/or C/C++ with experience in production-grade code and big data infrastructure
A portfolio of peer-reviewed publications in top-tier AI/ML venues or granted patents in advanced machine learning systems.

Requirements:
Deep GenAI Expertise: Hands-on experience building production-ready autonomous agent pipelines, coding agents, and complex LLM workflows.
DevTools Passion: A genuine obsession with developer experience, productivity tools, and modern engineering automation.
Staff+ Influence: Proven track record of driving technical adoption and shifting engineering culture across large teams (~200+ engineers).
Founders Pragmatism: A background (e.g., former CTO, Tech Lead, or Platform EM) that balances a "ship-fast" mentality with rigorous systems thinking.

Requirements:
Hands-on experience generating high-end visual assets, with expertise in building complex workflows across different models within wivi and Midjourney (ComfyUI expertise is a major plus)
Strong background in 3D design, VFX, professional photography, or cinematography with a deep understanding of light and physics in the real world
Intuition for what looks "expensive" and professional. You can spot a bad AI artifact from a mile away and know how to fix it
Proficiency in post-production tools like After Effects, Premiere Pro, or DaVinci Resolve for compositing and finishing
High agency and independence, with the ability to own projects from start to finish and identify the best tools and techniques for the job
Ability to adapt quickly in a fast-moving environment with ever-changing technology, and a passion for learning on the fly.