Live opening · Posted 13 hours ago

Software Engineer

Virtusa · Hyderabad, Telangana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 13 hours ago
CompanyVirtusa
LocationHyderabad, Telangana, India (On-site)
Work modeNo
SkillsPython, Java, AWS, Azure, GCP
SourceLinkedin
ListedPosted 13 hours ago

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About the role

Description supplied by the original job listing.

Gen AI Integration Developer
Location: HYD Campus, Hyderabad
Years of Experience: 5-7 Years
Job Summary: We are seeking a skilled Gen AI Integration Developer with extensive experience in the data analytics space. The ideal candidate will possess strong programming skills and a deep understanding of modern technology stacks, particularly in the realm of Generative AI. This role involves building scalable API-based solutions, integrating large language models (LLMs), and collaborating with cross-functional teams to deliver innovative AI solutions.
Responsibilities
Design, develop, and implement scalable API-based solutions for Generative AI applications.
Integrate popular LLMs (e.g., OpenAI GPT, PaLM 2, Claude 2) using API endpoints.
Conduct experiments to analyze and evaluate the features of new LLM models.
Utilize prompt engineering techniques and implement LLM agents using frameworks like LangChain.
Build and maintain data pipelines to support AI solutions, ensuring efficient data flow from source to target systems.
Collaborate with Gen AI leads and team members to address product backlog requirements.
Troubleshoot and debug software and design issues effectively.
Mandatory Skills
Proficiency in at least one major programming language (Python, PySpark, or Java).
Hands-on experience integrating LLMs using API endpoints.
Basic data engineering skills for handling structured and unstructured data.
Thorough understanding of prompt engineering and LLM agents.
Preferred Skills
Experience with cloud services (Azure, GCP, AWS) for storage and serverless logic.
Extensive experience with data engineering and ETL tools.
Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics.

Work arrangement
No

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