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Job Description

Description :


About the Company


We are an early-stage, high-impact startup building next-generation Agentic AI platforms. Our mission is to create autonomous AI agents that work alongside humans to automate workflows, accelerate decision-making, and drive real business outcomes. Backed by a strong founding team and cutting-edge technology, we offer a high-ownership environment for builders and innovators.


Role Overview :


We are looking for an AI Architect to design, build, and deploy agent-driven intelligent workflows. You will translate business processes into scalable AI systems using LLMs, orchestration tools, and workflow automation platforms. This role is ideal for someone who enjoys solving ambiguous problems and building AI solutions end-to-end.


Key Responsibilities :


Agent & Workflow Design :


- Design modular agentic workflows using tools like n8n, LangChain, CrewAI, or internal frameworks


- Convert documents, transcripts, and task narratives into structured workflows and action plans


Agent Development & Deployment :


- Build autonomous AI agents with memory, planning, tool usage, and decision-making capabilities


- Implement orchestration logic, fallback mechanisms, and human-in-the-loop systems


Platform Integration :


- Integrate AI agents with REST APIs, webhooks, and enterprise systems


- Work with Microsoft ecosystem tools such as M365, SharePoint, Teams, Dataverse, Power Automate


RAG & Knowledge Systems :


- Design and implement RAG-based AI agents


- Work with vector databases, prompt engineering, hallucination control, and knowledge graphs


Collaboration :


- Partner with product, engineering, and business teams to deliver POCs and production solutions


- Participate in UAT, performance tuning, and risk evaluation


Required Skills & Experience :


- ~5+ years of experience in intelligent workflow design, business systems, or automation


- Strong Python programming skills


- Hands-on experience with workflow automation tools (n8n, Zapier, Power Automate, Airflow)


- Experience with LLM agent frameworks (LangChain, CrewAI, AutoGen, Semantic Kernel)


- Solid understanding of prompt engineering, NLP, and task planning


- Experience integrating REST APIs, JSON, webhooks


- Ability to design scalable, modular, and resilient systems


Nice to Have :


- Background in Business Analysis or Data Analysis


- Experience with vector databases (FAISS, Pinecone, Milvus, Qdrant)


- Exposure to NLP tasks (summarization, classification, entity extraction)


- Experience building reusable libraries or internal frameworks


Soft Skills We Value :


- Builder mindset with ownership attitude


- Comfortable working in startup / fast-paced environments


- Strong problem-solving and communication skills


- Curiosity and passion for AI-native systems and automation


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