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
Solid 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 (positive to have)
Experience with AWS Services
Containerization (Docker) and orchestration (Kubernetes)
CI/CD pipelines and deployment automation
Solid 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

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