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We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.
Experience:8+ Years
Requirements
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
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 technical standards and provide architectural guidance to engineering teams
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
Area
Expectation
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
Benefits
Skills Required
- 8+ years of overall software engineering experience
- Meaningful experience building AI or LLM-based systems
- Hands-on experience with LangGraph, Claude Code, or comparable agent orchestration tools
- Production prompt engineering experience for LLM use cases
- Strong proficiency in Python, FastAPI, async/await patterns, and performance optimization
- Strong knowledge of software design patterns, system design, and production architecture
- Working experience with AWS and/or Azure, including compute, storage, and deployment pipelines
- Ability to scale prototypes into reliable, production-ready systems
- Ability to work as an individual architect or senior individual contributor while writing code and making architectural decisions
- Strong communication skills with technical and non-technical stakeholders
- Experience working in fast-moving, ambiguous environments under time pressure
- Immediate availability to join
What We Do
Alignity is a Talent Solutions company focused on revolutionizing talent acquisition, employer branding, and performance inspiration to help organizations achieve accelerated growth.
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