This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.
Key Responsibilities:
Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation
Requirements:
2+ years of hands-on experience with GenAI tools (OpenAI, Claude, Bedrock, etc.)
Proven ability to build LLM-based solutions without model training
Familiarity with frameworks like LangChain, vector DBs, RAG
Ability to run quick PoCs (via Python, JS, no-code tools, etc.)
Solid understanding of prompt engineering and use-case design
Experience working with product managers or customer-facing teams
Strong communication and problem-solving skills
Background in software, product, AI, or system architecture
2+ years of hands-on experience with GenAI tools (OpenAI, Claude, Bedrock, etc.)
Proven ability to build LLM-based solutions without model training
Familiarity with frameworks like LangChain, vector DBs, RAG
Ability to run quick PoCs (via Python, JS, no-code tools, etc.)
Solid understanding of prompt engineering and use-case design
Experience working with product managers or customer-facing teams
Strong communication and problem-solving skills
Background in software, product, AI, or system architecture
This position is open to all candidates.
