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Generative AI Engineer-Hybrid
Job summary
Plano
Work model
Hybrid · 2 days home
Job description
Third Parties - Absolutely no phone calls please
LOCAL CANDIDATES ONLY PLEASE - Candidates must reside local to the Dallas area. The client is not accepting candidates willing to relocate.
Our Client, a multinational telecommunications technology company has an urgent and immediate need for a GEN AI resource to work onsite 3 days per week in their Plano, TX office.
The final interview is a mandatory interview in Plano TX.
Responsibilities:
- Provide hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
- Provide LLM fine tuning.
- Prompt Engineering: Design, test, and optimize prompts for generative models to achieve desired outputs.
- Graph-Based Workflow Design: Architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
- API Development & Integration: Integrate external APIs, tools, and data sources into AI-driven workflows.
- Productionize AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability.
Required Skills:
- In-depth understanding and practical experience with Large Language Models (LLMs) such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.
- Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
- Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud.
- Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
- DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVN, etc.
- Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
Apply today for immediate consideration. I look forward to hearing from you.