Senior AI Application Developer

Fint Solutions; Hyderabad, Chennai District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Fint Solutions in India is seeking an experienced AI Application Developer to build enterprise-grade AI solutions, combining strong software fundamentals with hands-on production-ready AI features.

You will design scalable backend services, implement AI-powered features with LLMs, build RAG pipelines with vector databases, and ensure security, observability, and production deployment.

Qualifications

• Experience building production AI solutions using LLMs, RAG, AI agents, and modern integration frameworks.
• Focus on implementation, integration, optimization, and productionization rather than model training.
• Experience with backend design, APIs, and cloud-native development.

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

Skills

Python

Microservices architecture

REST & GraphQL APIs

Authentication & authorization

Caching strategies

Cloud-native development

Job description

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.