Farrukhnagar Haryana React js developer Jobs – 132 Open Jobs Today

Manager
Axtria, Inc. —Gurugram, Haryana
- Azure
- Master's degree
- AWS
Tech Lead
Skeps —Gurugram, Haryana
- Azure
- DevOps
- System design
Senior .Net Developer
Korra —Gurugram, Haryana
- Azure
- Computer Science
- DevOps
Technical Lead – Product Engineering
Saarthee —Gurugram, Haryana
- Azure
- Computer Science
- Java
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Tech Lead - Digital Delivery
Inizio Evoke —Gurugram, Haryana
- ₹1 an hour
- Azure
- Computer Science
- Master's degree
3779922-Senior Manager
EXL Service —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Senior MERN developer
Konrad —Gurugram, Haryana
- Remote
- Azure
- Computer Science
- Java
- Work from home
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Java Developer
Konrad —Gurugram, Haryana
- Azure
- Computer Science
- Java
- Work from home
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Software Architect & Team Lead
Konrad —Gurugram, Haryana
- Azure
- Computer Science
- Java
- Work from home
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Senior Java Developer
Konrad —Gurugram, Haryana
- Azure
- Computer Science
- Java
- Work from home
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Engineering Manager (Tech Lead)
Konrad —Gurugram, Haryana
- Azure
- Computer Science
- Java
- Work from home
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Manager

Axtria, Inc. -
Gurugram, Haryana

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Job details

Qualifications

CI/CD
Power BI
Azure
Law
React
Kubernetes
Full-stack development
Talent management
Git
Master's degree
Application development
MCA
OS Kernels
AWS
Project management
Docker
Bachelor's degree
JavaScript
Continuous integration
GitHub
APIs
B.E.
S3
Data science
Metadata
Flask
AI
GitLab
Graph databases
Python
Analytics

Full job description

Position Summary

Highly skilled GenAI Application Leads with 8 to 15 years of total experience who can lead the design, development, testing, and deployment of Generative AI–based applications focused on Data and Analytics in Life Sciences domain. The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus.

This role bridges AI engineering, data analytics, and full-stack development, creating intelligent applications that augment data-driven decision-making.

Job Responsibilities

Solution Architecture & Design

Lead the end-to-end architecture and design of Generative AI applications
Define solution blueprints combining LLMs, Retrieval-Augmented Generation (RAG), Knowledge Graphs for structured and unstructured data sources.
Translate business requirements into modular AI workflows, ensuring scalability, security, and performance.
Evaluate and recommend GenAI frameworks/tools (LangChain, LangGraph, Semantic Kernel, etc.)
Collaborate with data engineers and pharma domain experts to design semantic data models and context-aware knowledge base.

Gen AI Application Development & Engineering

Lead full-stack design and development using Python (FastAPI, Flask) and React/Next.js for GenAI-powered frontends.
Build microservices or API layers that expose AI functionalities securely across teams and systems.
Ensure robust CI/CD pipelines, version control (GitHub, Bitbucket, GitLab), and containerization (Docker, Kubernetes).
Design and develop user-centric applications that embed GenAI outputs seamlessly into custom UI or enterprise BI tools like Power BI
Work with data engineering and analytics teams to connect GenAI apps to existing data ecosystems (AWS S3, Azure Data Lake, Snowflake, Databricks, etc.)
Use knowledge graphs and metadata-driven approaches to enhance contextual reasoning and data discovery
Deploy AI workloads using Azure OpenAI, AWS Sagemaker, Bedrock, or Snowflake Cortex AI Services.

AI Model Integration & Fine-tuning

Lead the integration of LLMs (OpenAI GPT, Anthropic Claude, Mistral, Snowflake Cortex, etc.) into enterprise-grade applications.
Fine-tune or prompt-tune foundation models using domain-specific data (commercial, patient, Omni -channel, clinical, or market access data).
Design and implement RAG architectures leveraging vector databases (ChromaDB, Pinecone, FAISS, Weaviate etc.).
Develop prompt engineering frameworks and guardrails to ensure factuality, interpretability, and compliance.
Establish evaluation pipelines for model performance, accuracy, latency, and hallucination detection.

Leadership & Collaboration

Lead a cross-functional GenAI development team of engineers, business analysts, data scientists, and UI developers.
Stay ahead of the curve with emerging LLM architectures, multi-agent systems, and reasoning frameworks to provide technical guidance to the teams.
Drive knowledge-sharing sessions and PoCs to evangelize Generative AI adoption across the organization.
Contribute to Gen AI use case roadmaps, thought leadership relevant to GenAI in Life Sciences.

Education

BE/B.Tech

Master of Computer Application

Work Experience

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Talent Management

Technical Competencies

Problem Solving

Lifescience Knowledge

Communication

Project Management

Capability Building / Thought Leadership

AIML

Python

React

Azure ML Studio

AWS CodeBuild

ML Data Science

Snowflake

Skills

Apply Now

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