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.

Key Responsibilities :

1. 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.

2. 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.

3. 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.

4. 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 architectural guidance to engineering teams.

5. Cloud & Infrastructure :

- Design and deploy solutions on AWS and/or Azure, leveraging cloud-native services for compute, storage, and orchestration.

- Ensure systems are built with security, cost-efficiency, and scalability in mind from a cloud architecture standpoint.

Required Skills & Experience :

- Agentic AI Frameworks : Hands-on experience with LangGraph, Claude Code, or comparable agent orchestration tools.

- Prompt Engineering : Demonstrated experience designing and refining LLM prompts for production use cases.

- Python Engineering : Strong proficiency in Python, FastAPI, async/await patterns, and performance optimization.

- Software Architecture : Solid grounding in design patterns, system design, and architecture for production systems.

- Cloud Platforms : Working experience with AWS and/or Azure (compute, storage, deployment pipelines).

- Systems Thinking : Proven ability to take a prototype and scale it into a reliable, production-ready system.

Ideal Candidate Profile :

- 8+ years of overall software engineering experience, with a meaningful portion in AI/LLM-based systems.

- Comfortable operating as an individual architect/senior IC - able to both write code and make architectural calls.

- Experience working in fast-moving, ambiguous environments where systems evolve from PoC to production under time pressure.

- Strong communication skills to justify architectural decisions to both technical and non-technical stakeholders.