Generative AI Engineer-Hybrid


Elite Technical
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Job Details
Skills
- API
- Algorithms
- Apache Spark
- Apache Subversion
- Artificial Intelligence
- Clustering
- DS
- Data Structure
- Databricks
- Debugging
- DirectShow
- Engineering Design
- FOCUS
- Generative Artificial Intelligence (AI)
- LangChain
- Large Language Models (LLMs)
- Linear Regression
- Machine Learning (ML)
- Meta-data Management
- Microsoft Azure
- MongoDB
- OOD
- PostgreSQL
- PySpark
- PyTorch
- Python
- Redis
- SQL
- Telecommunications
- TensorFlow
- Workflow
- XGBoost
- k-nearest neighbors
- GenAI
- Big Data
- LLM
- LLMOps
- GBT
- Open AI
Summary
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, Decicion 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.
- Dice Id: 10121845
- Position Id: 8963763
- Posted 4 hours ago
Company Info
Technical recruiting is our core expertise and we're hiring! Our mission is to fill the greatest tech jobs with the most talented people! We are an innovative technology recruiting company – driven by talented people and utilizing the latest in AI technology! For 30 years, we have provided top-tier technical talent and high-level technology solutions to industry leaders. With carefully honed processes and impeccable execution, our talent acquisition program enables our customers to focus on and deliver the services for which they are renowned. Today, our highly regarded client base includes leaders in Aerospace & Defense, Commercial Enterprise, Financial IT, Healthcare IT, Broadcast & Media, as well as top-tier federal systems integrators and key governmental agencies. Founded in New York in 1992, Elite Technical is a privately held, certified Woman-Owned Small Business (WOSB).


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