Overview
Full stack developer with AI
Full Stack Developer with AI Experience
Location: On Site (Hyderabad)
Experience: 5+ years (Full Stack Development with AI & NLP Expertise)
Role Overview
We are looking for a highly experienced Full Stack Developer (5+ years) with expertise in
AI/ML integration and Semantic Search to design, develop, and optimize large-scale data
analytics systems. The ideal candidate must have hands-on experience with front-end and
back-end technologies, AI-powered search systems, vector databases, real-time web
scraping, and data pipelines for data collection.
Key Responsibilities
Full Stack Development
- Architect, develop, and maintain high-performance, scalable web applications.
- Build interactive UI components using React.js, Angular, or Vue.js.
- Develop robust backend services and APIs using Node.js, Python
(Django/Flask/FastAPI).
- Ensure seamless front-end and back-end integration for AI-powered features.
- Implement real-time data collection using Scrapy, Selenium, Puppeteer, or
Playwright.
AI & Machine Learning Integration
- Develop and integrate AI/ML models into full stack applications.
- Implement AI-based solutions such as predictive analytics, NLP, recommendation
systems, or computer vision.
- Work with AI frameworks like TensorFlow, PyTorch, OpenAI API, Scikit-Learn, or
Hugging Face.
2 | P a g e
Full stack developer with AI
Semantic Search & AI-Powered Intelligence Processing
- Design Implement semantic search using vector embeddings and transformer-based
NLP models.
- Work with BERT, SBERT, OpenAI Embeddings, Cohere, and Sentence Transformers
for analysis.
- Develop query embedding pipelines to process natural language searches effectively.
- Build hybrid search systems (semantic + keyword-based) for queries.
Vector Databases & AI Search Optimization
- Store and search AI-processed intelligence data using FAISS, Pinecone, Weaviate,
ChromaDB, or Elasticsearch KNN.
- Implement Approximate Nearest Neighbor (ANN) Search for fast similarity
matching.
- Optimize cosine similarity and hierarchical search for large-scale data retrieval
Big Data Processing & Real-Time Streaming
- Design and manage large-scale data pipelines for real-time data collection and
analysis.
- Work with Kafka, RabbitMQ, or Redis for streaming data.
- Optimize database performance with MongoDB, PostgreSQL, MySQL, and Elastic
Search.
Cloud Services & Deployment
- Deploy AI-driven applications on AWS, Google Cloud, or Azure.
- Implement containerization & orchestration (Docker, Kubernetes) for scalable
deployment.
Required Skills & Experience
- 5+ years of experience in full stack development with AI/ML expertise
- Proficiency in JavaScript (Node.js, React.js, Angular, Vue.js) and Python
(Django/Flask/FastAPI).
- Hands-on experience in AI/ML model integration and AI-powered applications.
- Expertise in Semantic Search, Vector Databases (FAISS, Pinecone, Weaviate,
Elasticsearch KNN).
- Strong experience with API development (REST, GraphQL).
- Experience with Scrapy, Selenium, Puppeteer, Playwright
- Hands-on knowledge of NLP, embeddings (BERT, SBERT, OpenAI Embeddings,
Cohere, Hugging Face Models).
3 | P a g e
Full stack developer with AI
- Database management expertise in SQL & NoSQL (MongoDB, PostgreSQL, MySQL,
ElasticSearch).
Preferred Qualifications
- Experience with OpenAI API & LLMs (GPT-based models, fine-tuning).
- Knowledge of Big Data frameworks (Spark, Hadoop).
- Experience in deploying AI workloads in cloud environments (AWS Lambda,
SageMaker, GCP Vertex AI).
Why Join Us?
- Work on cutting-edge AI/ML and LLM projects with real-world impact.
- Lead and deliver enterprise-level AI solutions for governments, enterprises, and
cybersecurity clients.
- Be part of a highly skilled, independent, and innovative team working on multiple
parallel AI projects.
- Competitive compensation, flexible work environment, and opportunities for
innovation.
How to Apply: Interested candidates, please send your updated resume and portfolio of AI
projects to hr@vatins.com.
Job Type: Full-time
Pay: ₹300,000.00 - ₹800,000.00 per year
Schedule:
- Monday to Friday
Work Location: In person