Lead Full Stack AI Engineer

JOB DETAILS:

Role : Lead Full Stack AI Engineer (with Solution Architecture experience)

Skills : Architecture, AI/ML, Data, Cloud & Infrastructure, DevOps, UI

Experience: 12+ years

Location : Houston TX – Day 1 onsite

At Coforge we are looking for a hands-on Lead 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.