GenAI and Full-Stack AI/ML professionals

Wissen Infotech; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Wissen Infotech is seeking a GenAI and Full-Stack AI/ML professional for a hybrid role in Bangalore. You will design and deliver end-to-end web applications with frontend, backend, and APIs, leveraging React/Angular/Next.js on the frontend and Python/Node.js/Java/FastAPI on the backend.

You will implement prompt engineering, RAG pipelines, and AI-driven workflows while ensuring security, scalability, and cost efficiency.

Qualifications

• 4–6 years of full-stack development experience.
• 2+ years hands-on GenAI/LLM-based applications (Mandatory).
• Experience building production-grade AI solutions preferred.

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.
• Implement prompt engineering, prompt versioning, and optimization.
• Develop RAG pipelines and AI-driven workflows.
• Handle data ingestion, preprocessing, and embeddings pipelines.
• Build and deploy AI-driven products and workflows (automation agents, NLP systems).
• Deploy applications on AWS and containerize with Docker/Kubernetes.
• Build CI/CD pipelines and MLOps/LLMOps workflows.
• Ensure security, scalability, compliance, availability and cost optimization.

Skills

Frontend development

Backend development

System design

Prompt engineering

GenAI concepts

Cloud & AWS

Docker & Kubernetes

Education

Bachelors/Masters in CS or related field

Tools

LangChain

LlamaIndex

LangGraph

AutoGen

Strands

Job description

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