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Lead AI / GenAI Engineer Nearest Client Office USA_hybrid

Hybrid in Dallas, TX, US • Posted 8 hours ago • Updated 8 hours ago

Contract W2

12 Months

Hybrid

$50 - $70/hr

Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Job Details

Skills

3+ years hands-on experience in Machine Learning
Data Science
Search/Relevance
or Ranking systems.

Summary

Lead AI / GenAI Engineer 
Location:  Nearest Client Office USA_hybrid
Duration: 12 Months plus Contract
Experience: 8 12+ Years
 
Please share your updated resume with me at pranayatburgeonitsdotcom 
Role Overview 
We are looking for a Lead AI / GenAI Engineer to lead the technical strategy and development of production-grade AI/LLM systems. The ideal candidate will be hands-on with Python, RAG, agentic AI, ML frameworks, data engineering, and cloud technologies. 
Mandatory Skills

8+ years of software engineering experience with strong recent hands-on development.

3+ years hands-on experience in Machine Learning, Data Science, Search/Relevance, or Ranking systems.

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Strong Python development experience.
```

Production experience with AI/LLM/GenAI systems.

Strong experience with RAG, retrieval, orchestration, AI agents, and evaluation systems.

Experience with LangChain and/or LangGraph.

Strong knowledge of ML frameworks: PyTorch, TensorFlow, Scikit-learn, and/or MLflow.

```
Strong Pandas and NumPy skills.
```

Experience building REST APIs and scalable backend services.

Strong SQL and experience working with large-scale structured/unstructured data.

Experience with AWS and/or Google Cloud Platform, preferably AWS Bedrock.

Experience with Vector Databases such as Qdrant.

```
Knowledge of Kubernetes and Docker.
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Experience with Kafka / event-driven architectures.

Experience with CI/CD, Git, automated testing, and production deployment.

Strong understanding of data preprocessing, feature engineering, data validation, transformation, modeling, and storage.

Bachelor's degree in Computer Science, Engineering, Data Science, or related quantitative field.

Preferred

Experience designing AI systems at scale, including latency, cost, observability, safety, and responsible AI.

Experience with ML model deployment and inference pipelines.

Experience mentoring junior AI/ML engineers.

Experience leading AI technical strategy across multiple products.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10500016
Position Id: 9055078
Posted 8 hours ago

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