GenAI and Full-Stack AI/ML professionals

Position: GenAI and Full-Stack AI/ML

Experience:4+ Years

Location Bangalore

Notice Period :Immediate-15 Days

Work type: Hybrid (3 days work from office)

Job description:

Key Responsibilities

• Design and develop end-to-end web applications (frontend + backend + APIs)
• Build responsive UI using frameworks like React / Angular / Next.js
• Develop backend services using Python / Node.js / Java / FastAPI
• Develop high-performance REST APIs using FastAPI.
• Ensure:

o             Security

o             Scalability

o             Compliance

• Implement prompt engineering, prompt versioning, and optimization
• Develop RAG (Retrieval-Augmented Generation) pipelines
• Build and deploy AI-driven products and workflows (automation agents, NLP systems)
• Handle data ingestion, preprocessing, and embeddings pipelines
• Automate:

o             Case processing

o             Narrative generation

o             Data extraction & validation

• Ensure accuracy, latency, and cost optimization of AI systems
• Deploy applications on AWS
• Containerize applications using Docker and Kubernetes
• Build CI/CD pipelines and MLOps/LLMOps workflows
• Ensure high availability, security, and scalability
• Work with Product, UX, Data Science, and Engineering teams
• Participate in architecture discussions and design reviews
• Ensure compliance with AI governance, security, and data privacy standards
• Document system architecture, APIs, and AI workflows

Required Skills

• Frontend: FastAPI (must-have), Python,  REST Framework
• Backend: Python (FastAPI/Flask), Node.js, Java (Spring Boot)
• Databases: PostgreSQL, MySQL, MongoDB
• Strong understanding of

o             Large Language Models - Gemini / Claude

o             Prompt Engineering (CoT, Few-shot, Structured prompting)

o             RAG systems, embeddings, and vector search

• Experience with frameworks:

o             LangChain, LlamaIndex, LangGraph, AutoGen, Strands

o             Model evaluation, hallucination handling, output validation

• Basic understanding of:

o             Machine learning & NLP concepts

o             Data preprocessing and feature engineering

• Experience with Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow (good to have)
• Experience with AWS Services
• Containerization (Docker) and orchestration (Kubernetes)
• CI/CD pipelines and deployment automation
• Strong problem-solving and system design skills

Experience & Qualifications

• Bachelors/Masters in Computer Science or related field
• 4–6 years of full-stack development experience
• 2+ years of hands-on experience in GenAI/LLM-based applications-Mandatory
• Experience building production-grade AI solutions preferred