Senior Engineer - Generative AI & Prompt Engineering

12 - 20 years

30 - 40 Lacs

Posted:3 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Essential Responsibilities:

  • Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.
  • Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.
  • Work closely with software developers to integrate LLM solutions into existing or new applications.
  • Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units.
  • Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.
  • Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.
  • Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.

Qualifications/Requirements:

  • Bachelors degree in Computer Science, Engineering, Mathematics, or related field with 8+ years' relevant experience.
  • Experience with prompt engineering and familiarity with tools such as OpenAIs GPT models, Hugging Face, etc.
  • Proficiency in Python or other programming languages commonly used in AI/ML development.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and adapt to changing project requirements.
  • Must be willing to work out of an office located in Bangalore.

Ideal Candidate Characteristics:

  • Masters degree in Computer Science, Engineering, Data Science, or related field
  • Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
  • Previous experience or internships involving NLP or machine learning projects.
  • Familiarity with version control systems like Git.
  • Understanding of traditional industry operations and challenges.

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