AI Engineer

Mars Data hiring fulltime
AI Engineer (LLM/Prompt Engg/ChatGPT Enterprise)
in
Pune / Mumbai
locations

Skills: AI Engineering, LLM, LLM APIs, prompt engineering, Python, ChatGPT Enterprise experience, designing instructional content, technical writing, or conducting workshops, conducting workshops, use cases,

Job Type:
Fulltime

Job Location
: Pune / Mumbai

Shift:
Mid Shift

Experience: 3
+ years

Notice period:
Immediate to 15 Days

Project context

Working closely with both technical and non-technical colleagues, you will support the entire journey from initial concept and experimentation to documentation and continuous improvement ensuring clarity, rigor, and ethical integrity at every stage. Your work will be integral to our digital transformation, enabling teams across Syensqo to confidently and effectively use AI in their daily work

The position reports to the local AI Team Lead.

Key Responsibilities:

• You will design, test, and optimize prompts for generative AI tools like ChatGPT, enabling diverse business teams to derive maximum value from AI solutions for a wide range of use cases.
• You will collaborate with stakeholders across functions including technical, business, and corporate teams to identify opportunities, requirements, and success criteria for effective GenAI adoption : level of english, communication/vulgarization and problem solving skills are fundamental for this position. ChatGPT Enterprise experience is a strong plus.
• You will plan, create, and deliver engaging training sessions, demos, and educational resources, acting as a go-to expert to empower employees in the practical use of generative AI technologies.
• You will develop, maintain, and continuously improve comprehensive documentation, best practice guides, and support materials to ensure consistent and responsible use of GenAI tools across the organization.
• You will proactively explore emerging GenAI tools and advancements, evaluating their potential and piloting innovative use cases that drive digital transformation within the company.
• You will foster a collaborative environment, sharing insights, discoveries, and methodologies that accelerate team learning and cross-functional integration of AI solutions.

Goals and deliverables

Education: Bachelor, Master's or PhD in Computer Science, Communications, Linguistics, Education, or a related field.Experience:

• Proven experience (2+ years) working with large language models such as ChatGPT or similar generative AI tools.
• Experience in designing instructional content, technical writing, or conducting workshops is an advantage.
• Experience working with LLM APIs and prompt engineering in Python environments is a plus.
• Familiarity with prompt engineering concepts and applications.

Technical Knowledge:

• Design Effective Prompts: Create and optimize prompts tailored to a variety of use cases, enhancing productivity and problem-solving with ChatGPT.
• Adoption and Training: Plan and deliver engaging training sessions and demos for teams and individuals on how to utilize generative AI tools efficiently.
• Documentation: Develop and maintain comprehensive guides, FAQs, and resources to aid employees in using ChatGPT or other GenAI tools.
• Best Practice popularization: Advocate for effective prompting strategies and stay up-to-date with advancements in the generative AI field.
• Feedback Loop: Collect, analyze, and integrate user feedback to continuously improve prompt design and training materials.
• Cross-functional Collaboration: Work closely with technical and non-technical stakeholders to identify opportunities for AI tool integration and improvement.

Skills and behavioral competencies

• Exploration & Use Case Discovery:
  Actively explores new GenAI tools and models, continuously identifying practical applications and innovative use cases for the organization.
• Proactivity & Initiative: Takes ownership in recognizing opportunities for generative AI adoption, suggests improvements, and follows through to ensure successful implementation.
• Entrepreneurial Mindset:
  Demonstrates agility, adaptability, and resourcefulness in a start-up environment within the company, thriving amidst fast-paced change.
• Communication & Popularization:
  Clearly explains AI concepts and prompt engineering strategies to both technical and non-technical audiences; champions adoption through engaging workshops, presentations, and internal communications.
• Collaboration & Knowledge Sharing:
  Works cross-functionally, supports team learning, and contributes to the creation and improvement of best-practice documentation and resources.
• Ethical & Responsible AI: Integrates privacy, fairness, and compliance requirements into all prompt design and training efforts, upholding the organization's ethical standards in AI use.

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