Highlights
Build intelligent automation flows and conversational AI agents using frameworks like LangGraph, LangChain, and Microsoft Copilot Studio. Apply advanced prompt engineering and integrate Model Context Protocol (MCP) to connect AI agents with enterprise systems.
Numbers & Facts
| Location | Dallas, TX |
| Industry | Computer/IT Services |
| Company Size | 1,500 to 1,999 employees |
| Year Founded | 2004 |
| Website | https://www.anblicks.com/ |
Description
Senior AI Engineer
Role Overview
- Lead the design, development, and deployment of advanced AI systems
- Build cutting-edge solutions across machine learning, NLP, generative AI, LLMs, and multi-agent orchestration
- Drive innovation across our product portfolio by solving real-world problems
Key Responsibilities
- Architect, build, and deploy production-grade AI/ML systems at scale
- Design and develop RAG pipelines, agentic AI systems, and multi-agent orchestration solutions
- Build intelligent automation flows and conversational AI agents using frameworks like LangGraph, LangChain, and Microsoft Copilot Studio
- Develop time-series forecasting and anomaly detection models for real-world business use cases
- Apply advanced prompt engineering and integrate Model Context Protocol (MCP) to connect AI agents with enterprise systems
- Own the full AI project lifecycle - from data ingestion and preprocessing through model training, evaluation, deployment, and monitoring
- Collaborate with data scientists, software engineers, and product managers to translate business needs into AI-powered solutions
- Optimize model performance and ensure robustness, fairness, and explainability
- Stay current with the latest AI/ML research and bring relevant advancements into our stack
Our Technology Landscape
- Retrieval-Augmented Generation (RAG) pipelines
- Agentic AI frameworks (e.g., LangGraph, LangChain)
- Multi-agent orchestration systems
- Model Context Protocol (MCP) integrations
- Advanced prompt engineering
- Time-series modeling, forecasting, and anomaly detection
- Intelligent automation flows and workflow orchestration
- Microsoft Copilot Studio for building and deploying custom copilots and conversational AI agents
Required Qualifications
- Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field (PhD preferred)
- 5+ years of AI/ML engineering experience with a proven track record of shipping models to production
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Experience with cloud platforms (AWS, Azure) and MLOps tools
- Strong understanding of data structures, algorithms, and software engineering principles
- Solid grounding in software engineering best practices and system design
- Experience designing and building automation workflows or process automation systems
- Excellent problem-solving and communication skills
About Company
Since 2004, Anblicks has been helping customers across the globe, enabling them with digital transformation services. Anblicks specialized in delivering Big Four consulting experience to mid-size enterprises.
Anblicks employs more than 400 technology professionals and over 100 data analysts and data science experts. With a focus on Logistics, Healthcare, BFSI and Retail industries, Anblicks continues to drive technology innovation while providing customers with world-class levels of services and support.
Anblicks is headquartered in Dallas, Texas with additional offices in other U.S. states, Canada and India.