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Tekonika Technologies Tech Stack

Full-cycle app development with ML and data engineering capabilities

IT Services and IT Consulting Gurugram, Haryana 11–50 employees Founded 2019 Privately Held

Tekonika is a 11–50 person engineering shop in Gurugram building full-stack applications and data platforms for mid-market clients. The tech stack reveals a split focus: frontend-heavy (React, Next.js, TypeScript) paired with a deep data science layer (PyTorch, TensorFlow, XGBoost, Snowflake, BigQuery, Databricks). Active projects cluster around LLM applications, MLOps pipelines, and fraud detection — suggesting clients are pushing toward AI-first product features. Hiring is accelerating in data and senior engineering roles, indicating either client demand for AI/ML work or internal build-out of that capability.

Tech Stack 68 technologies

Core StackReact Next.js JavaScript Java Kafka MongoDB Redis Node.js TypeScript AWS Python scikit-learn PyTorch TensorFlow Snowflake BigQuery Databricks SageMaker HTML5 CSS Spring Boot Azure GCP Polars DuckDB PyArrow XGBoost LightGBM CatBoost JAX+38 more

What Tekonika Technologies Is Building

◆Challenges

Optimizing large-scale data pipelines
Productionizing generative ai workflows
Current data and analytics landscape
Legacy data platforms
Inefficient data pipelines
Fraud detection
Risk scoring
Operational decision making

▲Active Projects

Llm application development
Predictive modeling and time series forecasting solutions
Productionizing generative ai workflows
Implementing mlops and llmops processes
Predictive modeling for business use cases
Modern scalable data platform
Fraud detection solution
Recommendation engine
Llm-enabled copilot

Hiring Activity

Accelerating15 roles · 6 in 30d

Department

Engineering

8

Data

5

Seniority

Senior

7

Mid

5

Lead

1

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About Tekonika Technologies

Tekonika delivers end-to-end software and app development, with emerging depth in ML and data engineering. The company serves clients across product modernization, process transformation, and experience design — typical of mid-market digital transformation work. Stack choices (Kafka, MongoDB, Redis, Spring Boot for backend; React/Next.js for frontend; Snowflake, BigQuery, Databricks for analytics) point to clients building cloud-native, data-informed applications. Active projects in LLM applications, generative AI productionization, and MLOps suggest the shop is expanding beyond traditional app development into AI-native workflows. Based in India, hiring only domestically.

HeadquartersGurugram, Haryana

Company Size11–50 employees

Founded2019

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Tekonika use?

Frontend: React, Next.js, JavaScript, TypeScript. Backend: Java, Spring Boot, Node.js, Python. Data: Kafka, MongoDB, Redis, Snowflake, BigQuery, Databricks. ML: PyTorch, TensorFlow, XGBoost, scikit-learn. Cloud: AWS, Azure, GCP.

What is Tekonika working on?

LLM application development, generative AI productionization, MLOps/LLMOps pipelines, predictive modeling, fraud detection, recommendation engines, and scalable data platforms. Active projects show a shift toward AI-enabled products and workflows.