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Salary
≈ $22k – $47k per year (Estimated)
Location
In office (Hyderabad, Chennai)
Seniority
Senior · 7+ years exp

First seen by Alion on Aug 31, 2026.

Overview
Company
Impact
Profile match
ServiceNow. Our solutions help you leverage the SerivceNow platform by providing customization, implementation and support and strengthen your business processes, enhance your operational efficiencies and offer a captivating user experience.

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.

Skills

Artificial Intelligence, LLM, RAG, Generative AI, Agentic AI, API Gateway, Workflows

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