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GenAI + Prompt Engineer

Job in Austin, Travis County, Texas, 78789, USA
Listing for: SRI Tech
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 62 - 66 USD Hourly USD 62.00 66.00 HOUR
Job Description & How to Apply Below
Job :
Austin, TXSalary: USD 62-66 / Hourly (C2C)

Employment Type:

C2C, Full Time Company: SRI Tech Solutions

Job Title:

GenAI + Prompt Engineer

Location:

Austin, TX

Job Description:

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and generative AI application development.

This role is perfect for someone passionate about building intelligent systems and integrating GenAI into real-world applications.

Key Responsibilities:

Design, develop, and optimize prompts for LLMs to maximize output accuracy and relevance.

Build and deploy GenAI-powered applications using Python and frameworks like Lang Chain.

Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases for enhanced knowledge retrieval.

Collaborate with cross-functional teams to integrate AI solutions with existing APIs and cloud platforms.

Conduct testing and performance tuning for LLM-driven solutions.

Required Skills:

Proven experience in prompt engineering for Large Language Models (LLMs).Hands-on development experience with GenAI frameworks such as Lang Chain.

Strong programming skills in Python.

Familiarity with RAG pipelines, vector databases, and embedding techniques.

Experience in cloud environments (AWS, Azure, or GCP) and API integrations.

Preferred Qualifications:

Background in NLP or Machine Learning.

Experience with tools like OpenAI, Hugging Face, Pinecone, or Weaviate.

Understanding of ethical AI practices and prompt safety.

SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.
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