Requirements

AI
/ ML / GenAI Expertise (Mandatory)

• 
  Strong understanding of LLMs (GPT, Gemini, Llama),
  transformers, embeddings, RAG.
• 
  Hands-on experience with:
• 
  Azure OpenAI / OpenAI API
• 
  Cognitive Services
• 
  Pinecone, Redis, or Vector DBs
• 
  ML frameworks (PyTorch/TensorFlow preferred)
• 
  Experience in designing and evaluating AI prompt
  strategies.
• 
  Knowledge of model tuning, evaluation, and deployment.

Product
& Architectural Expertise

• 
  3+ years as a Product Owner or equivalent product
  leadership role.
• 
  5+ years as a Technical Architect or Senior Engineer.
• 
  Experience building cloud-native applications
  (Azure/AWS/GCP).
• 
  Strong understanding of microservices, API gateways,
  event-driven architecture.
• 
  Ability to create product roadmaps, define KPIs, and
  drive delivery.

Soft
Skills

• 
  Excellent communication and storytelling.
• 
  Strong stakeholder and client handling skills.
• 
  Analytical thinking and problem-solving.
• 
  Ability to lead cross-functional teams and influence
  decisions.
• 
  Comfortable working in fast-paced, R&D-heavy
  environments.

Preferred
Qualifications

• 
  Bachelor’s or Master’s in Computer Science,
  Engineering, Data Science, or equivalent.
• 
  Certifications:
• 
  Azure AI Engineer Associate
• 
  Azure Solutions Architect
• 
  AI-900 / DP-100
• 
  CSPO / PSPO
• 
  Experience with MLOps, LangChain, Semantic Kernel
  (added advantage).

Benefits

• 
  Competitive
  salaries
• 
  Medical
  Insurance
• 
  Employee
  Referral Bonuses
• 
  Performance
  Based Bonuses
• 
  Flexible
  Work Options & Fun Culture
• 
  Robust
  Learning & Development Programs
• 
  In-House
  Technology Training