Contract role
Job Title: Senior Full Stack AI Engineer (with Solution Architecture experience)
Location : Houston TX
Key Skills: Solution Architecture, AI/ML (Lang Chain, AutoGen, Crew AI), Data (SQL, NoSQL), Cloud (AWS, Azure) & Infrastructure (Terraform, Ansible) , DevOps, UI (React)
we are looking for a hands-on Senior Full stack AI engineer with Solution Architect experience to design and guide the build of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.
Key Responsibilities
GenAI & Autonomous Agents
Build Autonomous Agents: Deploy stateful agents (using LangGraph) that plan tasks, query Knowledge Graphs, and execute tools without hallucinating.
Advanced RAG: Build Graph-RAG pipelines that combine semantic search with structured knowledge traversal for grounded answers.
Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
Collaborate with domain experts to align agent behavior with technical expectations and constraints.
Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
High-Performance APIs: Build low-latency Python services (FastAPI) to serve live data to frontend and AI models.
Solution Architecture: Design and implement performant, resilient, and scalable SaaS applications following microservice architecture in production environments.
Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).
Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.
Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (SQL Server, PostgreSQL, MongoDB).
Cross-Functional Influence: Partner with product management, sales, customer, and engineering teams to align technical solutions with business needs.
Rapid Delivery: Adopt a “deliver fast” mentality without compromising code quality, testing, or API design standards.
Required Skills & Qualifications
BS in Computer Science or a related STEM field.
Strong experience with AI assistant tools like Claude Code and GitHub Copilot and using harness engineering principles.
Strong experience of AI/ML frameworks, such as LangChain, AutoGen, CrewAI and others.
Proven experience with specification-driven development (SDD) methodologies.
Proven track record designing and implementing performant, resilient, and scalable applications following microservice architecture in real-world scenarios.
Experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).
Experience with database technologies (SQL and NoSQL).
Fluency in one or more of: Node.js, Python, React
Advanced English communication skills.
Preferred Skills:
UI experience such as React.
Prior experience with software development in the Oil & Gas industry.
AI Technical trainings and Certifications such as: ClaudeCode Architect and others.
To apply for this job email your details to yogesh@reveilletechnologies.com