Senior AI Engineer

Anblicks Inc.; Dallas, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Anblicks Inc. is seeking a senior AI/ML Engineer to lead design, development, and deployment of advanced AI systems in a production environment.

You will architect RAG pipelines, agentic AI, and multi-agent orchestration, collaborating with data scientists, software engineers, and product managers. Responsibilities include building scalable AI/ML solutions, implementing time-series forecasting and anomaly detection, and advancing prompt engineering with MCP to connect models to enterprise

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, ML, or related field (PhD preferred).
• 5+ years of AI/ML engineering experience with production deployments.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure) and MLOps tools.
• Strong CS fundamentals and software engineering practices.

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 with LangGraph, LangChain, and Copilot Studio.
• Develop time‑series forecasting and anomaly detection models for real‑world business use cases.
• Apply prompt engineering and MCP to connect AI agents with enterprise systems.

Skills

Python

TensorFlow

PyTorch

Scikit‑learn

LangGraph

LangChain

MCP (Model Context Protocol)

AWS

Azure

MLOps

Distributed systems

Education

Master's degree in Computer Science or AI

PhD preferred

Tools

LangGraph

LangChain

Microsoft Copilot Studio

Jupyter

Job description

• 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
• 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

• Bachelor's or Master's 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