Lead Full Stack AI Engineer

Coforge; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Coforge in Houston is seeking a hands-on Lead Full Stack AI Engineer with Solution Architecture experience to design and guide the build of scalable SaaS applications for complex industrial environments. You will own architecture end-to-end—from data modeling and infrastructure through deployment—and influence how AI capabilities are embedded into solutions.

This on-site role requires 12+ years of experience, deep expertise in cloud-native microservices, and ability to lead while contributing as

Qualifications

• BS in Computer Science or a related STEM field.
• Proven experience with AI assistant tools like Claude Code and GitHub Copilot.
• Strong experience with AI/ML frameworks such as LangChain, AutoGen, CrewAI and others.
• Experience with specification-driven development (SDD) methodologies.
• Proven experience designing and implementing performant, resilient microservice-based architectures.
• Experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).
• Experience with relational and NoSQL databases.
• Fluency in Node.js, Python, or React.
• Advanced English communication skills.

Responsibilities

• GenAI & Autonomous Agents
• Build Autonomous Agents: deploy stateful agents (LangGraph) that plan tasks, query Knowledge Graphs, and execute tools without hallucinating
• Advanced RAG: build Graph-RAG pipelines 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 outputs
• Continuously optimize prompting, agent orchestration, and performance
• High-Performance APIs: build low-latency Python services (FastAPI) to serve live data
• Solution Architecture: design and implement SaaS apps with microservice architecture
• Cloud & Infrastructure: architect on Azure and/or AWS using Docker, Kubernetes, Terraform, Ansible
• Documentation: produce architecture diagrams and docs
• Data Architecture: guide data modeling across SQL/NoSQL
• Cross-Functional Influence: partner with product, sales, customer, and engineering teams
• Rapid Delivery: deliver fast without compromising code quality or API design

Skills

Node.js

Python

React

Claude Code

GitHub Copilot

LangChain

AutoGen

CrewAI

SDD methodologies

Microservice architecture

Azure

AWS

Docker

Kubernetes

Terraform

Ansible

SQL

NoSQL

Education

BS in Computer Science

Tools

Azure

AWS

Docker

Kubernetes

Terraform

Ansible

SQL

NoSQL

LangChain

AutoGen

CrewAI

Claude Code

GitHub Copilot

Job description

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

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.