Technical Architect
Fulltime Employment
Job Overview:
We are looking for an experienced, hands-on Technical Architect to own and lead the architecture, design, and end-to-end technical solutions of our cutting-edge AI Multi-Agent workflow orchestration and domain solutions platform. You will play a critical role in architecting and implementing innovative solutions leveraging Generative AI, Multi-Agent Systems, LLMs, SLMs, RAG, Knowledge Graphs, MCP and advanced AI workflows. As an architect in our fast-paced startup, you'll directly code, mentor, grow the engineering team, and ensure alignment of development practices with industry standards, best practices, and architectural vision.
Key Responsibilities:
• Technical Architecture Ownership:
o Lead the end-to-end architecture and design of scalable, secure, and robust GenAI solutions built around Multi-Agent Systems, Generative AI, RAG, Knowledge Graphs, and SLM/LLM integrations.
o Develop detailed solution blueprints, patterns, and architectural standards for multi-agent orchestration and workflow automation.
• Hands-on Engineering Leadership:
o Actively participate in coding, prototyping, and hands-on development, particularly in early stages of product and feature development.
o Contribute directly to critical components involving LangChain, LangGraph, Hugging Face, vector databases, AI-powered agents and of various AI/ML tools.
o Lead implementation of sophisticated data pipelines and integrations with various AI technologies including Voice Agents, Speech-to-Text, Text-to-Speech, and Realtime Speech-to-Speech solutions.
• Team Development & Technical Mentorship:
o Mentor, groom, and expand technical leads and engineers, fostering innovation, autonomy, and accountability.
o Ensure technical teams adhere to the defined architectural standards, AI solutioning best practices, and technical roadmaps.
• Stakeholder Engagement & Cross-Team Collaboration:
o Collaborate closely with Product, Delivery, and client-facing teams to translate business objectives into technical deliverables.
o Clearly communicate architectural strategies, trade-offs, and technical decisions to both technical and non-technical stakeholders.
• Best Practices & Standards Enforcement:
o Drive adoption of best practices in software and AI architecture, scalability, maintainability, and performance optimization.
o Ensure alignment with Responsible AI guidelines and regulatory standards.
Required Qualifications:
• 7+ years of hands-on experience in Software Development and Solution Architecture, including significant experience architecting AI-powered solutions.
• Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related technical fields.
• Background in building AI solutions for enterprise-scale use cases with demanding real-time or high-performance requirements.
• Track record of working effectively in a fast-paced, agile, startup environment.
• Deep hands-on experience with:
o Generative AI & Multi-Agent Systems: Integration and orchestration using frameworks such as LangChain, LangGraph, Hugging Face, or equivalent.
o AI Integration & Workflows: LLM & SLM integrations, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Prompt Engineering, MCP, A2A, Guardrails.
o Data Pipelines & AI Integrations: Robust pipeline design for seamless data ingestion, transformation, and model integration.
o Voice and Speech Technologies: Voice Agents, Speech-to-Text, Text-to-Speech, Realtime Speech-to-Speech solutions.
o Vector Databases: PgVector, Pinecone, Milvus, Neo4j, or similar solutions.
o Backend Development & APIs: Python, Node.js, Microservices, REST/WebSocket APIs.
o Infrastructure & Cloud: AWS/Google Cloud Platform/Azure, Kubernetes, Docker, CI/CD, Terraform.
Personal Attributes:
• Passionate about emerging Generative AI technologies and keen on continuous learning.
• Comfortable engaging in hands-on coding as well as high-level architectural design.
• Excellent communicator, capable of clearly explaining complex technical concepts across diverse audiences.
• Proven ability to lead and mentor technical teams, particularly in dynamic startup settings.
• Highly collaborative, proactive, adaptable, and accountable.
Why Join Us?
• Opportunity to shape the next generation of GenAI and Multi-Agent orchestration platforms.
• Dynamic startup environment providing substantial opportunities for growth, ownership, and innovation.
• Collaborative and driven culture working alongside industry experts in AI/ML.
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