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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 solid 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 fast-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 tech

📌 Architect – Agentic AI Engineering (Hyderabad)
🏢 AlgoLeap Technologies
📍 Hyderabad