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Tech Lead - CORE - India

Kaya Intelligence, Inc
Posted 18 days ago, valid for 22 days
Salary

Competitive

Contract type

Full Time

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This is a remote position.

We are seeking a Tech Lead with expertise in AI/ML and Full stack development to drive the development of core platform features. This role is instrumental in architecting and optimizing high-performance AI-driven applications, building robust microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will lead the development of workflow automation modules, AI-powered search engines, and scalable platforms.


Responsibilities:

Develop & Optimize Core AI/ML Features:

  • Architect and implement AI-powered automation modules, search systems, and data retrieval models.
  • Deploy LLM-driven applications using LangChain, RAG, and embedding-based techniques.
  • Enhance workflow automation using Haystack, LangGraph, and Vector DBs.

Lead Full stack Platform Development:

  • Design and build scalable microservices and event-driven architectures.
  • Implement high-performance backend systems in Python, Java, and Node.js.
  • Develop AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript.

AI Model Deployment & DevOps:

  • Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms.
  • Implement CI/CD pipelines, containerization, and scalable deployment strategies.
Technical Leadership & Best Practices:
  • Lead and mentor junior developers and AI engineers.
  • Enforce best practices in software engineering, AI model deployment, and full stack architecture.
  • Drive innovation in AI-based workflow automation and platform scalability.



Requirements

  • Bachelor’s/Master’s degree in Computer Science, AI, Machine Learning, or a related field.
  • 7+ years of experience in AI/ML and full stack development.
  • Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models.
  • Strong programming skills in Python, Java, Node.js, TypeScript.
  • Deep understanding of cloud-based AI solutions (AWS, GCP, Azure).
  • Experience in microservices, REST/WebSockets, and real-time API development.
  • Strong knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines.
  • Experience in vector databases, RAG-based search, and AI-powered data retrieval.

Skills:

Must-Have Skills:

  • Expertise in GenAI Development and Large Language Models (LLMs).
  • Proficiency in LangChain, Haystack, LangGraph for AI-driven workflow automation.
  • Strong understanding of Natural Language Processing (NLP) & semantic search optimization.
  • Experience in vector databases (Pinecone, Milvus, Neo4j) and graph-based AI solutions.
  • Hands-on experience with Speech-to-Text technologies (Whisper, Google Text-to-Speech).
  • Backend expertise in Java, Python, Node.js, Spring Boot.
  • Frontend skills with React.js, Angular, and TypeScript.
  • Proficiency in Microservices Architecture & API Development.
  • Experience with CI/CD, DevOps (Jenkins, OpenShift, Kubernetes).
  • Deep understanding of AI-powered Search & Semantic Understanding (HyDE, MMR, LLM re-ranking).

Preferred Skills:

  • Experience in AI-powered chatbot & IVR automation.
  • Proficiency in Dashboard Development & AI Monitoring (Splunk, AppDynamics, OpenTelemetry).
  • Ability to optimize real-time AI solutions using WebSockets and analytics-driven AI interactions.

 






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