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 Global Digital Transformation Solutions Provider logo
Lead I - Software Engineering - AI Solutions Analyst
Global Digital Transformation Solutions Provider
Lead I - Software Engineering - AI Solutions Analyst
 Global Digital Transformation Solutions Provider's logo

Lead I - Software Engineering - AI Solutions Analyst

at Global Digital Transformation Solutions Provider

Agency job
6 - 8 yrs
₹20L - ₹26L / yr
Bengaluru (Bangalore)
Skills
Large Language Models (LLM)
Prompt engineering
Knowledge base
Data modeling
databricks
Amazon Web Services (AWS)
ChatGPT

MUST-HAVES:

  • LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
  • Context & Knowledge Base Design.
  • Context & Knowledge Base Design.
  • Experience running LLM evals


NOTICE PERIOD: Immediate – 30 Days


SKILLS: LLM, AI, PROMPT ENGINEERING


NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments



ROLE PROFICIENCY:

Role Scope / Deliverables:

  • Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
  • Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
  • Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
  • Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
  • Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
  • Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.



KEY DELIVERABLES:

  • LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
  • Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
  • Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
  • Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
  • AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
  • Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.



KEY SKILLS:

Technical & Analytical Skills:

  • LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
  • Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
  • Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
  • Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
  • Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
  • Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
  • Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
  • Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
  • Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
  • Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
  • Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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