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Lead Applied AI solutions
Lead Applied AI solutions
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Lead Applied AI solutions

Sanna Icewala's profile picture
Posted by Sanna Icewala
6 - 8 yrs
₹24L - ₹28L / yr
Pune, Mumbai
Skills
Generative AI
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)
Prompt engineering
Vector database
skill iconPython
RESTful APIs
Microservices

Lead Applied AI solutions 

 

Design, build, and productionize  Lead Applied AI solutions that solve real business problems. This role is handson, outcome driven, and responsible for turning AI concepts into reliable, scalable systems under defined architectural and governance standards.

 

Key Responsibilities:

  • Design and implement end-to-end AI solutions (RAG systems, AI agents, copilots, ML pipelines).
  • Own featurelevel architecture within larger AI platforms.
  • Build and optimize LLMbased workflows: prompt design, embeddings, retrieval, evaluation.
  • Integrate AI capabilities into enterprise applications via APIs and microservices.
  • Drive POC → pilot → production transitions with stability and cost controls.
  • Implement AI observability: logging, evaluation metrics, hallucination checks, fallbacks.
  • Collaborate with Product, Business, Security, and Data teams to shape AI use cases.
  • Mentor junior engineers and contribute to coding standards and best practices.
  • Follow Responsible AI, security, and data governance guidelines.

Technical Skills Required– 

  • Strong handson experience with: 
  • Python, REST APIs, microservices
  • LLMs, RAG, embeddings, vector databases
  • Prompt engineering and evaluation techniques
  • Practical experience with: 
  • Cloud platforms (Azure/AWS)
  • Model inference optimization and cost awareness
  • CI/CD, Git, basic MLOps concepts
  • Working knowledge of: 
  • Data pipelines, unstructured data processing
  • AI security, guardrails, and enterprise constraints

Preferred Qualifications

  • 6–8 years total engineering experience
  • 3–4 years working with AI / ML / GenAI systems
  • Proven experience delivering production AI features, not just experiments 

 

Success Metrics

  • AI features ship reliably and are adopted by business users.
  • POCs convert into stable production deployments.
  • Reduced manual effort, faster decisions, or measurable business impact.
  • Junior engineers accelerate faster under this role’s guidance. 

 

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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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About ProofofSkill

Founded :
2024
Type :
Product
Size :
0-20
Stage :
Raised funding

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Shubham Vishwakarma

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