Full Stack AI Engineer

Experience: 1-2 years of experience.

Job Description

Position: Full Stack AI Engineer

Experience: 1-2 years

Academic Requirement: Bachelor's Degree in Computer Science, Artificial Intelligence or related field

Compensation: As per market standards

Hiring Manager: Priteshsinh Solanki

Location: Pune, India

Probation: 6 months

Skills:

Strong proficiency in Python and JavaScript/TypeScript .

Hands-on experience developing modern web applications using Next.js and React .

Experience building scalable RESTful APIs and backend services using FastAPI .

Strong understanding of PostgreSQL , database design, query optimization and ORM frameworks.

Experience integrating Large Language Models (LLMs) such as OpenAI, Gemini, Claude, or similar into production applications.

Hands-on experience with LangChain and LangGraph for AI agents, workflows, chatbot orchestration, and multi-step reasoning.

Experience implementing RAG , prompt engineering, guardrails, memory, and tool/function calling.

Familiarity with Vector Databases and vector search technologies.

Experience implementing WebSockets or Server-Sent Events (SSE) for real-time AI chat and streaming responses.

Experience with Git/GitHub , Docker, CI/CD, and cloud deployment on AWS, Azure, GCP, or Vercel .

Knowledge of authentication (JWT/OAuth), API security, data privacy, RBAC, and scalable system architecture.

Finance Domain Knowledge: Understanding of financial processes such as payroll, accounts payable/receivable, budgeting, expense management, financial reporting, reconciliations, and financial data analysis .

Experience building AI-powered applications or automation solutions for finance-related workflows is preferred.

Strong problem-solving, debugging, and collaboration skills with experience delivering production-ready AI applications.

Others: Fluent English (Mandatory), Ability to coordinate with global stakeholders, Experience in finance, financial data, or regulated business processes preferred.

Job Overview:

CT Automotive Group is a UK-headquartered supplier of high-quality interior components to the global automotive industry, with manufacturing facilities in China, Turkey and Mexico.

This role is for an AI engineer who can take ownership of AI systems end-to-end from architecture and experimentation to production-ready deployment. You will play a key role in shaping AI strategy and scaling intelligent solutions.

The role will involve developing AI-powered applications and automation solutions for finance-related business processes , requiring an understanding of financial data, workflows, reporting, and controls.

Required Tech Stack

Frontend: Next.js (React)

Backend: FastAPI (Python)

Database: PostgreSQL

AI/Chatbot: LangChain + LangGraph

LLM Integration: OpenAI, Anthropic, Gemini (or similar)

Real-time Communication: WebSockets

Version Control: Git/GitHub

Deployment: Docker, AWS/Azure/GCP or Vercel

Job Roles & Responsibilities:

Develop and maintain AI-powered web applications using Next.js, FastAPI, and PostgreSQL .

Build and integrate LLM-based chatbots and AI features using LangChain and LangGraph .

Design and develop REST APIs and AI workflows for scalable applications.

Implement RAG , prompt engineering, and real-time AI responses using WebSockets .

Develop AI-powered solutions for finance-related business processes , including financial data analysis, reporting, reconciliation, document processing, and workflow automation.

Work closely with Finance and business stakeholders to understand financial processes, identify automation opportunities, and translate business requirements into scalable AI applications.

Ensure AI solutions handling financial data maintain data accuracy, confidentiality, security, auditability, and compliance requirements.

Collaborate with cross-functional teams to deliver production-ready AI solutions.

Ensure application performance, security, scalability, and code quality.

Deploy,monitor, and maintain applications in cloud environments.

25th September 2026

CT AUTOMOTIVE INDIA

Key skills: generative ai, LLM, REST API, React.js, Azure, Websocket, Github, JWT, Fast API, Prompt Engineering, Docker, Vector Database, Javascript, API Security, Python, AI Agent.

Role: Full Stack Developer

Industry Type: Auto Components

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education: UG: B.Tech / B.E. in Computer Science and Business System, Artificial Intelligence And Data Science, Artificial Intelligence And Machine Learning