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Genai Engineer

  • Job type Posted on: May 22, 2026
  • Experience level VDart Inc
  • Employment type Tampa, Florida
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Genai Engineer

Job Type :

Full-time

Job Location :

Tampa Florida United States

Remote :

No

Jobcon Logo Job Description :

GenAI Engineer
Fulltime
Irving, TX

Exp:6-15 Years

Mandatory: GenAI, LLM, RAG, Python

Job description
We are seeking a forward thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced chunking strategies This role is ideal for engineers passionate about building scalable production grade AI applications that leverage cutting edge retrieval and generation techniques

ROLE DESCRIPTION

  • Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
  • Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding
  • Collaborate with stakeholders to translate business needs into scalable AI solutions
  • Ensure model reliability performance and ethical compliance across deployments

Skills

  • 5 to 7 years of experience as Fullstack developer with at least 2 to 4 years in generative AI or RAG systems
  • Proficiency in Python
  • Chunking techniques and embedding strategies
  • MLOps tools MLflow Docker CICD pipelines
  • Experience with prompt engineering model evaluation
  • Mandatory Familiarity with Agentic Systems and MultiAgent Orchestration

Skills
Mandatory Skills : AI/GenAI Research, Python

Jobcon Logo Position Details

Posted:

May 22, 2026

Reference Number:

97887-5195

Employment:

Full-time

Salary:

Not Available

City:

Tampa

Job Origin:

CIEPAL_ORGANIC_FEED

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GenAI Engineer
Fulltime
Irving, TX

Exp:6-15 Years

Mandatory: GenAI, LLM, RAG, Python

Job description
We are seeking a forward thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced chunking strategies This role is ideal for engineers passionate about building scalable production grade AI applications that leverage cutting edge retrieval and generation techniques

ROLE DESCRIPTION

  • Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
  • Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding
  • Collaborate with stakeholders to translate business needs into scalable AI solutions
  • Ensure model reliability performance and ethical compliance across deployments

Skills

  • 5 to 7 years of experience as Fullstack developer with at least 2 to 4 years in generative AI or RAG systems
  • Proficiency in Python
  • Chunking techniques and embedding strategies
  • MLOps tools MLflow Docker CICD pipelines
  • Experience with prompt engineering model evaluation
  • Mandatory Familiarity with Agentic Systems and MultiAgent Orchestration

Skills
Mandatory Skills : AI/GenAI Research, Python

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