AI Engineer - R01572075

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

AI Engineer

• AWS, Azure, or Google Cloud

Role: AI Engineer

Years of Experience: 8+ years

Location: Hybrid (2-3 days Dallas, TX)

As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value.

Job Description:

We are seeking an experienced AI Engineer with a strong background in the Software Development Life Cycle (SDLC) to design, develop, and deploy AI-powered applications. The ideal candidate should have expertise in Generative AI, LLMs, machine learning, and modern software engineering practices, ensuring scalable and production-ready AI solutions.
Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions following SDLC best practices.
Build and integrate AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
Develop REST APIs and microservices to integrate AI capabilities into enterprise applications.
Participate in requirement gathering, solution design, coding, testing, deployment, and production support.
Implement CI/CD pipelines for AI applications and automate model deployment.
Perform unit testing, integration testing, and code reviews to ensure software quality.
Collaborate with cross-functional teams including Product Owners, Architects, QA, and DevOps engineers.
Monitor AI model performance, troubleshoot issues, and optimize applications.
Ensure adherence to security, compliance, and coding standards.
Required Technical Skills
AI & Machine Learning
Python
Machine Learning fundamentals
Deep Learning
Generative AI
Large Language Models (OpenAI, Claude, Gemini, Llama)
Prompt Engineering
RAG (Retrieval-Augmented Generation)
AI Agents
LangChain / LlamaIndex
Vector Databases (Pinecone, FAISS, ChromaDB)
Embedding Models
Software Development
Strong understanding of SDLC methodologies (Agile/Scrum)
Object-Oriented Programming (OOP)
Design Patterns
REST APIs
Microservices Architecture
FastAPI / Flask
Git
Docker
Kubernetes (preferred)
Cloud & DevOps
AWS / Azure / GCP
CI/CD (GitHub Actions, Azure DevOps, Jenkins)
Infrastructure as Code (preferred)
Databases
SQL (PostgreSQL, MySQL)
NoSQL (MongoDB)
Vector Databases
Testing & Quality
Unit Testing (PyTest)
Integration Testing
API Testing
Performance Optimization  
Secure Coding Practices
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, AI, or related field.
Experience building enterprise-grade AI applications.
Exposure to MLOps tools such as MLflow, Kubeflow, or SageMaker.
Experience with AI observability tools like LangSmith, RAGAS, Phoenix, or Weights & Biases.
Knowledge of software architecture and system design.
Preferred Skills
LangSmith
RAGAS
OpenAI API
Azure OpenAI
Hugging Face
TensorFlow / PyTorch
Redis
Kafka
Elasticsearch
Terraform
Soft Skills
Excellent problem-solving and analytical skills.
Strong communication and stakeholder management.
Ability to work in Agile teams.
Ownership mindset with the ability to mentor junior engineers.
Nice to Have
Experience in Banking, Financial Services, or Healthcare domains.
Knowledge of Responsible AI, AI Governance, and AI Security.
Certifications in Azure AI, AWS AI/ML, or Google Cloud AI.
This role is ideal for candidates who combine strong AI/Generative AI expertise with end-to-end SDLC experience, enabling them to build, test, deploy, and maintain production-grade AI solutions.

Why should you apply for this role?

As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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