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AI Engineer
AI powered tech startup
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AI Engineer

at AI powered tech startup

Agency job
2 - 3 yrs
₹6L - ₹9L / yr
Remote only
Skills
Large Language Models (LLM)
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconNodeJS (Node.js)
Vector database
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)

Job Title: AI Developer/Engineer

Location: Remote

Employment Type: Full-time


About the Organization 

We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.


About the Role

We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.

Key Responsibilities

  • Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
  • Leverage Node.js for backend development and integration with various cloud services.
  • Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
  • Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
  •  Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
  • Integrate and manage vector databases such as FAISS and Pinecone.
  • Ensure scalability, performance, and compliance in all deployed AI systems.

Required Qualifications

  • 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
  • ​​Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
  • Strong experience with multi-cloud infrastructure and platforms,
  • Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
  • In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
  • Familiarity with AI tools for model training, data processing, and real-time inference tasks.
  • Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
  • Strong problem-solving skills and a passion for innovation in AI and cloud technologies
  • Agile delivery mythology knowledge.
  • CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
  • Strong experience with LLMs, prompt engineering, and fine-tuning.
  • Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).

Nice to Have

  • Experience in healthcare AI, digital health, or clinical applications.
  • Exposure to multi-agent AI frameworks.

What We Offer

  • Flexible working hours. 
  • Collaborative, innovation-driven work culture.
  • Growth opportunities in a rapidly evolving AI-first environment.
Read more
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Shubham Vishwakarma's profile image

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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Shubham Vishwakarma

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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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