Full Stack AI Developer

Fint Solutions; Hyderabad, Chennai District; Hybrid; INR 3,000,000 - 5,400,000; Full time

Benefits offered by this job

Hybrid work model

Insurance coverage

Career development

Job summary

Fint Solutions in Hyderabad/Chennai is seeking a Senior AI Application Developer to design and deliver enterprise-grade AI solutions. You will build backend services, expose REST/GraphQL APIs, and implement AI features using LLMs, RAG, and AI agents in production-ready systems.

The role focuses on integration, optimization, cost-aware execution, security controls, and governance. Requires 7+ years' software development experience, strong Python and microservices skills, and experience with

Qualifications

• Experience building production-ready AI solutions using LLMs, RAG, and AI agents.

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 with vector databases
• Develop AI agents and MCP-based workflows
• Apply prompt engineering and management across AI features
• Optimize AI application performance, latency, and cost
• Implement AI security controls, guardrails, and governance
• Monitor and improve production AI systems
• Collaborate with architects and product teams to deliver enterprise AI solutions

Skills

Software Engineering

Python

Microservices architecture

REST/GraphQL APIs

Authentication & authorization

Caching strategies

Cloud-native development

AI Engineering

LLM APIs

RAG architectures

Agent frameworks & MCP

Tools

LiteLLM

Langfuse

Job description

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.