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What You'll Do
Innovation & Research
- Track and analyze the latest in Gen AI: LLMs, MCP Servers, RAG systems, open-source frameworks, APIs, and research papers
- Evaluate new Gen AI tools and frameworks for internal development efficiency
- Generate innovative use-case briefs and solution concepts for clients
- Partner with Sales and Pre-Sales on solution design, proposals, and presentations
- Create demos, narratives, and use-case briefs for client conversations
- Participate in client workshops and discovery sessions
- Build rapid prototypes and demo flows to validate concepts
- Collaborate with Marketing on landing pages, case studies, and thought leadership content
- Contribute to webinars, blog posts, and industry presentations
- Represent the company at Gen AI conferences and community events
- Educate teams through workshops, brown-bag sessions, and internal knowledge sharing
- Build and maintain an internal GenAI knowledge base
- Champion AI adoption across development teams
Practical Gen AI Experience
- Built Gen AI prototypes such as hackathon projects, PoCs, demo apps, notebooks, or course/university projects
- Can translate between technical and business contexts, explaining RAG systems to developers and value propositions to executives
- Stay up to date with model releases, frameworks, research papers, and new tools
- Comfortable figuring things out independently rather than following predefined playbooks
- Energized by ambiguous, fast-changing environments
- Turn complex AI concepts into simple, compelling stories with clear next steps
- Confident presenting to both technical teams and business stakeholders
- Bonus: Actively share ideas and insights through social media, blog posts, conference talks, or community discussions
- Hands-on experience applying Gen AI in real or self-initiated projects—this could come from previous work, consulting, side projects, or research
- Ability to build quick Gen AI demos or prototypes using notebooks, low-code platforms, or lightweight scripting (e.g., Python, JS)
- Familiarity with Gen AI and ML fundamentals such as LLMs, RAG systems, embeddings, and APIs (e.g., OpenAI, Anthropic, open-source models), with a focus on practical integration into business workflows
- Comfort working across functions (e.g., R&D, Sales, Product, Marketing) and adjusting communication to different audiences
- Strong English communication skills, both verbal and written, for presentations, workshops, and internal collaboration
- Track record of sharing insights publicly through social media, blog posts, conference talks, or technical tutorials
- Contributed to open-source Gen AI projects or maintained AI-related repositories
- Background in software, consulting, or product companies, with exposure to delivering technology-driven solutions
- Active in Gen AI communities like Hugging Face, LangChain Slack, AI Discord servers, or Reddit AI forums
- Exposure to research via academic papers, arXiv submissions, or involvement in applied research groups
- Real ownership of ideas, experiments, and prototypes that shape how we and our clients adopt Gen AI
- A place on a focused R&D team that bridges research and real-world use
- Freedom to explore—if you spot a promising tool, idea, or use case, we'll back you to run with it
- Clients across industries, from healthcare to logistics, all looking for practical Gen AI value
- A culture of curiosity, transparency, and zero office politics—where people speak up, support each other, and value impact over ego
- Competitive compensation, adjusted for experience and location
Key Skills
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