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3 Days ago

Full Stack Developer (AI & Data Engineering)

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40000 - 80000 INR - Monthly
Gurugram, Haryana, India
Telecommunications
Full-Time
Bluewings

Overview

Key Details:

  • Location: Bangalore-Onsite
  • Type- Work From Office-Bangalore E-city

About the Role:

We are looking for a highly skilled Full Stack Developer with expertise in Snowflake, AI-driven development, and modern database architectures. The ideal candidate should be proficient in backend technologies like Node.js and Python, have experience with vector databases and embeddings, understand microservices communication, and be capable of deploying services using Kubernetes.

Key Responsibilities:

  • Develop & optimize data pipelines and integrations using Snowflake, MySQL, SQL, and MongoDB.
  • Work with vector databases and implement vector search & embeddings for AI-driven applications.
  • Implement and fine-tune Agentic AI workflows to automate decision-making and tasks.
  • Develop microservices and ensure smooth inter-service communication.
  • Work on prompt engineering to optimize AI models for business use cases.
  • Build scalable applications using Node.js and Python.
  • Design and maintain robust APIs for seamless data exchange.
  • Deploy and manage applications using Kubernetes (K8s) for containerized microservices.
  • Ensure high availability, scalability, and security of deployed services.

Required Skills & Experience:

  • Snowflake Database – Strong understanding of data warehousing, query optimization, and performance tuning.
  • Prompt Engineering – Experience in crafting effective prompts for LLMs (Large Language Models) and AI-based solutions.
  • Backend Development – Proficiency in Node.js and Python.
  • Databases – Strong knowledge of MySQL, SQL, and MongoDB.
  • Vector Database & Search – Experience working with vector embeddings and implementing vector search.
  • Agentic AI – Knowledge of AI agents that perform decision-making tasks autonomously.
  • Microservices Architecture – Experience in building, deploying, and managing microservices.
  • Kubernetes Deployment – Hands-on experience in containerizing applications and deploying them using Kubernetes (K8s).
  • API Development – Strong understanding of RESTful APIs and asynchronous communication.

Education Qualification:

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or Information Science

Job Type: Full-time

Pay: ₹40,000.00 - ₹80,000.00 per month

Benefits:

  • Health insurance
  • Paid sick time
  • Provident Fund

Work Location: In person

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