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Job Description
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 closely with Gen AI leads to address product backlog requirements.
Responsibilities
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 closely with Gen AI leads to address product backlog requirements.
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 features and capabilities of new LLM models.
- Utilize prompt engineering techniques and implement LLM agents using frameworks like LangChain.
- Build and maintain data pipelines and infrastructure to support AI solutions.
- Load structured and unstructured data from source systems to target data stores.
- Collaborate with team members to address requirements from the product backlog.
- Debug and troubleshoot software and design issues effectively.
- Proficiency in at least one major programming language (Python, PySpark, or Java).
- Hands-on experience integrating LLMs using API endpoints.
- Thorough understanding of prompt engineering and LLM agents.
- Basic data engineering skills for data loading and ETL processes.
- Experience with cloud services (Azure, GCP, AWS) for storage and serverless logic.
- Extensive experience with data engineering and ETL tools.
- Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics.


