We appreciate if you could provide an UPDATED CV.

What You’ll Do

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  Own the full lifecycle of AI/ML systems: design, develop, test, deploy, and maintain

  
  


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  Build LLM-based applications and intelligent consumer-facing platforms

  
  


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  Contribute to cloud infrastructure using Infrastructure-as-Code principles

  
  


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  Design reusable frameworks and components to accelerate innovation

  
  


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  Mentor junior engineers, share knowledge, and uphold technical best practices

  
  


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  Collaborate with product managers, designers, and engineers to deliver impactful solutions

  
  


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  Stay on top of AI/ML advancements, propose new ideas, and troubleshoot complex issues

  
  

What We’re Looking For

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  5+ years professional software engineering experience with production-grade AI/ML systems

  
  


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  Strong expertise in AI/ML algorithms, system design, and model deployment

  
  


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  Proven engineering fundamentals: software design, data structures, algorithms

  
  


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  Hands-on with: Python/Node.js/Java/Go, AWS/GCP/Azure, React Native, CI/CD, APIs, databases

  
  


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  ML domain knowledge: NLP, Computer Vision, Recommendation Systems, Anomaly Detection

  
  


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  Experience deploying LLM applications in production (cost, performance, monitoring)

  
  


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  Self-driven, curious, adaptable, and passionate about building impactful solutions

  
  

Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience

Nice-to-Haves

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  Experience with large-scale consumer-facing apps

  
  


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  Background in healthcare or regulated industries

  
  


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  Contributions to open-source projects or side projects/SaaS products

  
  

Why Join Us?

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  Work with cutting-edge AI/ML and LLM technologies

  
  


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  Collaborate with a talented, curious, and mission-driven team

  
  


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  Grow your career while solving meaningful, real-world challenges

  
  

Ready to take ownership and build AI solutions that matter? Apply now and answer the pre-screening questions below.

Pre-Screening Questions (Answer Honestly):

1. 
   

   Do you have a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)?

   
   


2. 
   

   Do you have 5+ years of professional software engineering experience, with a focus on building and deploying AI/ML models and systems?

   
   


3. 
   

   Can you demonstrate a deep understanding of AI/ML concepts, models, and algorithms, and explain them clearly?

   
   


4. 
   

   Do you have strong skills in software design, data structures, algorithms, and writing clean, testable, maintainable code?

   
   

(RATE YOURSELF 1–10, where 10 is the highest)

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  Backend services (Python / Node.js / Java / Go): RATING: ______

  
  


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  Cloud platforms (AWS / GCP / Azure): RATING: ______

  
  


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  CI/CD pipelines: RATING: ______

  
  


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  API development (REST / WebSocket): RATING: ______

  
  


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  Databases (SQL / NoSQL): RATING: ______

  
  


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  Front-end frameworks (e.g., React Native): RATING: ______

  
  

Do you have practical experience in any of the following ML domains? (YES or NO)

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  Natural Language Processing (NLP): ______

  
  


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  Computer Vision: ______

  
  


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  Recommendation Systems / Personalization: ______

  
  


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  Anomaly Detection: ______

  
  

Have you built and deployed applications leveraging LLMs in a production environment (considering performance, cost, reliability, monitoring)? YES / NO