JAVA fullstack Engineer + AI

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Duration: 12 Months

Location:

Shift Timings : EST Shift

Notice Period: (Immediate Joiner - Only)

Experience: 5-7 Years


About the Project

We have a client building an AI-enhanced media monitoring dashboard that aggregates insights from multiple social and media sources. The goal is to create an interactive, data-rich interface that integrates APIs (Meltwater, HypeAuditor, and social channels), and overlays GPT-powered analysis to extract meaningful narratives from large-scale media data.

Responsibilities

●        Frontend Development:

○      Build responsive, data-driven dashboards using React.

○        Implement clean, modular UI components for analytics visualization.

●        Backend Development:

○      Develop APIs and data pipelines using FastAPI (Python).

○      Integrate third-party APIs including Meltwater, HypeAuditor, and various social media APIs (owned and paid campaign data).

○        Manage and optimize data flow between storage, APIs, and the front-end.

●        AI Integration:

○      Integrate OpenAI for generating media insights, summaries, and sentiment analysis overlays.

○        Support prompt engineering and fine-tuning logic for contextual analysis.

Requirements

●      3–5 years experience in full-stack development (React + Python/FastAPI preferred).

●      Strong understanding of API integration and data visualization.

●      Experience working with media monitoring, social analytics, or marketing APIs is a big plus.

●      Familiarity with AI model integration (e.g., OpenAI API).

●      Hands-on experience with cloud infrastructure (GCP or AWS).

Nice to Have

●      Experience with real-time dashboards (WebSockets, SSE, or polling).

●      Knowledge of NLP or sentiment analysis pipelines.

●      Familiarity with visualization libraries like D3.js, Chart.js, or Recharts.

●      Understanding of data caching and performance optimization techniques.



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