Full Stack AI Developer

Hi,

Greetings from Fint Solutions...!!!

Thank you for taking the time to speak with me.

Please find below the details of the opportunity with Fint Solutions.

Company: Fint Solutions (CMMI Level 5 | Microsoft Gold Partner | Great Place to Work Certified for 5 Years)

Experience: 7+ Years
Job Title: Senior AI Application Developer
Work Mode: Hybrid (2 Days WFO)
Location: Hyderabad/Chennai
Shift: 2 PM – 11 PM
Website: https://www.fintinc.com/

About Fint Solutions

Born in the digital revolution of the 2000s, Fint Solutions empowers global leaders in banking, e-commerce, and healthcare with cutting-edge technology consulting, software services, and innovative solutions. We specialize in Digital Experience, Data Analytics & AI, Enterprise Applications, and Cloud Operations, helping organizations accelerate their digital transformation.

Employee Benefits

• Comprehensive insurance coverage for employees, immediate family, and parents/in-laws.
• Hybrid work model with flexible work arrangements.
• Continuous learning and career development opportunities.

Rewards & Recognition

• Employee of the Quarter
• Young Rising Star Award
• ICON of the Year Award
• Dronacharya Award
• Impact Award
• Technical Excellence Award
• Customer Excellence Award Senior AI Application Developer: Enterprise AI Solutions
  Experience: 7+ years overall software development | Focus: Implementation, integration &
  productionization

Job Summary
We are seeking an experienced AI Application Developer to build and deliver enterprise-grade AI
solutions. The ideal candidate combines strong software engineering fundamentals with hands-on
experience developing production-ready applications using Large Language Models (LLMs),
Retrieval-Augmented Generation (RAG), AI agents, and modern AI integration frameworks.
This role centers on implementation, integration, optimization, and productionization of AI-powered
solutions rather than AI research or model training.
Responsibilities
Design and develop scalable backend services and REST/GraphQL APIs
Implement AI-powered features using LLMs and generative AI technologies
Build, maintain, and optimize RAG pipelines, including vector database integration and retrieval
strategies
Develop AI agents and tool integrations, including MCP-based workflows
Apply prompt engineering and prompt management practices across AI features
Optimize AI application performance, latency, and token/cost consumption
Implement AI security controls, guardrails, and governance requirements
Monitor, troubleshoot, and continuously improve production AI systems
Collaborate with architects and product teams to deliver enterprise AI solutions

Required Skills
Software Engineering
Python
Microservices architecture
REST & GraphQL APIs
Authentication & authorization
Caching strategies
Cloud-native development
AI Engineering
LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI)
RAG architectures & vector databases
Agent frameworks and MCP concepts & integrations

Prompt engineering & prompt management
Context engineering and AI workflow orchestration
Production Readiness
Cost and latency optimization
AI observability
Security and compliance
Production deployment experience

Nice to Have
Experience with tooling such as LiteLLM (LLM gateway/routing) or Langfuse (prompt & observability tracing)
is a plus.