We're hiring
Technical Architect - AI Engineering
Capital Numbers is seeking a hands-on Technical Architect – AI Engineering to design, build, and deploy production-grade AI systems while leading a high performing engineering team. In this role, you will bridge cutting-edge generative AI development with enterprise-grade system architecture, driving projects from concept to deployment.
- Function
- Technology / Software & AI Engineering
- Location
- Kolkata
- Mode of Work
- Remote/Hybrid
- Experience
- 8 - 12+ Years
Roles & Responsibilities:
- AI System Architecture: Design: Architect, build, and optimize scalable RAG (Retrieval-Augmented Generation) pipelines, LLM-driven applications, and multi-agent AI systems.
- Enterprise Integration: Integrate LLMs, custom embeddings, vector databases, and APIs with complex enterprise data layers and existing business applications.
- System Optimization: Reliability: Solve critical AI deployment challenges, including retrieval quality improvement, hallucination mitigation, latency reduction, and query cost management.
- Technical Leadership: Mentorship: Drive code reviews, establish coding standards, unblock developers, and mentor a small team of software and AI engineers.
- Security & Infrastructure: Implement AI security best practices, ensure enterprise data privacy, and oversee deployment across cloud environments (AWS / Azure / GCP).
Skills:
- Core Languages: Frameworks: Python, LangChain, LlamaIndex, OpenAI APIs, Hugging Face
- AI Architecture: Generative AI, RAG Pipelines, AI Agents, Vector Databases (Pinecone, ChromaDB, Weaviate, Qdrant), Prompt Engineering, Embeddings
- Cloud: DevOps: AWS / Azure / GCP, Docker, API Integration, Microservices, CI/CD
- Leadership: Technical System Design, Code Reviews, Agile Development, Team Mentoring
- Domain Advantage (Preferred): Healthcare tech experience (EMR, HMIS, healthcare data privacy standards)
Qualification & Experience
Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related technical field.
Production Track Record: Proven background in moving LLM/GenAI prototypes into production enterprise environments.
Domain Expertise: Experience working on complex data architectures; exposure to Healthcare/EMR/HMIS platforms is strongly preferred.
We value diversity and are an equal opportunity employer.