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Job Description: Architect – Agentic AI Engineering
Role: Architect
Engagement Type: Contract-to-Hire (C2H)
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About the Role
We are looking for an experienced Architect to lead the design, hardening, and scaling of agentic AI systems — taking prototype-stage LLM applications and evolving them into production-grade, enterprise-ready platforms. This role sits at the intersection of AI engineering and software architecture, requiring hands-on depth in agentic frameworks alongside strong fundamentals in backend systems design and cloud deployment.
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Key Responsibilities
Agentic AI Development
Design and build agentic workflows using frameworks such as LangGraph, and tools like Claude Code, to orchestrate multi-step, tool-using AI agents
Own prompt engineering strategy — designing, testing, and iterating on prompts for reliability, consistency, and cost efficiency
Evaluate and integrate LLM capabilities into broader application architectures
Prototype-to-Production Engineering




Take early-stage AI prototypes and refactor them into robust, maintainable, production-grade systems
Identify and remediate technical debt, brittle logic, and scalability bottlenecks common in quick-built AI proofs-of-concept
Establish engineering rigor (testing, observability, error handling, versioning) around previously ad hoc AI systems
Backend Engineering
Architect and develop backend services in Python, using FastAPI and async programming patterns
Optimize application performance, latency, and throughput for AI-driven workloads
Design clean, well-documented APIs that support both internal and external consumption
Software Architecture & Design
Apply sound software architecture principles and design patterns to ensure systems are modular, scalable, and maintainable
Make and document key architectural decisions (system design, data flow, integration patterns, trade-offs)
Set technical standards and provide architec

📌 Architect – Agentic AI Engineering (Bengaluru)
🏢 Algoleap Technologies
📍 Bengaluru