Senior Full-Stack AI Engineer Job Description: Senior Full-Stack AI Engineer Role Overview:
We are seeking a highly skilled Senior Full-Stack AI Engineer to join our innovation team.
This role sits at the intersection of robust software engineering and cutting-edge
Artificial Intelligence. You will be responsible for designing and implementing scalable
web applications, architecting sophisticated AI workflows, and deploying intelligent
agents capable of complex reasoning. The ideal candidate is a polyglot engineer who is equally comfortable building high-
performance React frontends, resilient Python backends, and integrating Java-based enterprise services, all while pushing the boundaries of Agentic AI and Large Language
Model (LLM) orchestration. Key Responsibilities Full-Stack Development: Design and develop end-to-end web applications using
React.js for interactive user interfaces and Python for high-performance backend logic
and AI orchestration. AI Orchestration & Agentic Workflows: Architect and implement advanced Multi-
Agent Systems (MAS) and Agentic AI workflows that can perform autonomous reasoning, tool use, and multi-step task execution.
Generative AI Implementation: Build and optimize RAG (Retrieval-Augmented
Generation) pipelines to connect LLMs/SLMs to private data sources, ensuring high
accuracy and reduced hallucination.
AI Ecosystem Integration: Implement and manage the Model Context Protocol (MCP)
to standardize how AI models interact with external tools and data sources.
Backend & Enterprise Integration: Develop scalable microservices using Java to
ensure seamless integration between AI modules and core enterprise business logic.
Cloud & Data Engineering: Deploy and manage scalable AI workloads and data
pipelines using AWS and Databricks, ensuring optimized performance for model
training and inference.
System Architecture: Design scalable, secure, and fault-tolerant architectures




capable of handling real-time AI interactions and large-scale data processing. Technical Qualifications 1. Core Engineering:
Frontend: Expert-level proficiency in React.js, TypeScript, and modern state
management (Redux, Zustand, or React Query).
Backend (AI/Logic): Advanced proficiency in Python (FastAPI, Flask, or Django) for AI
service orchestration.
Backend (Enterprise): Strong experience in Java (Spring Boot) for building robust,
scalable microservices. 2. Artificial Intelligence:
LLM/SLM Mastery: Hands-on experience working with Large Language Models (GPT-4,
Claude, Llama) and Small Language Models (SLMs) for specialized tasks.
Agentic Frameworks: Deep understanding of agentic design patterns and experience
with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
RAG Expertise: Proven ability to build production-grade RAG systems using vector
databases (e.g., Pinecone, Milvus, Weaviate, or FAISS).
Emerging Standards: Familiarity with or experience implementing the Model Context
Protocol (MCP) to extend model capabilities. 3. Cloud & Data Stack:
AWS: Proficiency in AWS services (EC2, Lambda, S3, SageMaker, Bedrock, ECS/EKS).
Databricks: Experience with Databricks for large-scale data processing, Delta Lake,
and managing MLflow for model lifecycle management. Preferred Skills & Qualifications
Experience with Vector Databases and productive embedding strategies.
Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
Knowledge of distributed computing and handling asynchronous task queues
(Celery, RabbitMQ). Strong mathematical foundation in machine learning and neural network
architectures.
Ability to translate complex business requirements into scalable technical
architectures. Soft Skills
Problem Solver: Ability to tackle "unsolved" problems inherent in non-deterministic AI
outputs.
Architectural Thinking: Ability to see the big picture of how data, models, and UI
interact.
Agility: Comfortable working in a fast-paced, research-driven environment.

📌 Deloitte- Senior Full-Stack AI Engineer (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India