Logo for Kaya

Tech Lead - CORE - India

Role overview

Qualifications

  • 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

Responsibilities

  • Architect and implement AI-powered automation modules, search systems, and data retrieval models
  • Design and build scalable microservices and event-driven architectures
  • Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms
  • Lead and mentor junior developers and AI engineers

Key facts

Hard skills

Other skills

  • Mentorship

About the company

Kaya logo

Kaya

Artificial Intelligence & Machine Learning Services

Kaya is the Governed AI Execution Platform for business-critical processes. Enterprises don't win by having the smartest AI. They win by executing good decisions consistently, at scale, and improving how they operate faster than competitors can. Kaya is the infrastructure that makes that possible: it turns AI into operational advantage through governed AI execution. Kaya separates the design of work from its execution. AI designs and improves the plan; your leaders approve it. Once approved, the plan becomes a Deterministic Execution Plan (DEP): versioned, validated, and run identically across every matching transaction, with predictable, controllable AI cost. Intelligence moves across your systems as Kaya Intelligence Flows (iFlows), and AI re-engages only when something genuinely changes. Because governance is built into execution, not bolted on afterward, every run produces an immutable chain of custody and is continuously validated for drift and change. AI-driven work is defensible by default. Over time, every execution becomes a record of how the business actually operates, and a blueprint for improving it. That is the destination: not simply safer or cheaper AI, but a continuously improving operating model. The result: dependable outcomes, predictable costs, a defensible record, and transformative processes. Built for the world's largest regulated enterprises to operationalize AI at enterprise scale. Kaya Intelligence, Inc. is headquartered in Jersey City, New Jersey. The Platform Where AI Gets to Work. So an enterprise can reinvent how the work gets done.

Company details

Company typeSME
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

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.


Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Tech Lead Related jobs

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.