Staff Full Stack AI Engineer - AI Components

Runmap Infotech · Artificial Intelligence · Python · JavaScript · Java · TypeScript · 7 days ago
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Salary
≈ $35k – $80k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

First seen by Alion on Oct 29, 2026.

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Runmap Infotech

Runmap Infotech is an information technology consultancy that supplies SAP, Salesforce and security specialists to clients. Its roles include SAP Service Cloud and treasury consultants, Okta identity engineers, Akamai security engineers and Salesforce technical leads in Bengaluru, Pune, Chennai and Hyderabad. The company is headquartered in India.
runmapglobal.com · Bengaluru · Mumbai · Hyderabad · Chennai · Pune · Enterprise Apps Implementation Partners · IT Consulting & Digital Transformation
Tech stack of Runmap Infotech

Role : Staff Full Stack AI Engineer

Location : Bangalore, India (Onsite)

Availability : Immediate Joiners Preferred

Are you a hands-on technology leader passionate about building scalable enterprise applications and next-generation AI-powered solutions?

We're looking for a Staff Full Stack AI Engineer who can combine strong full-stack engineering expertise with practical Generative AI experience to build reusable AI components, intelligent workflows, and production-ready AI agents.

What You'll Work On :

- Design and build AI agents, multi-agent systems, and RAG pipelines.

- Develop reusable AI components, shared libraries, and enterprise-grade platforms.

- Modernize legacy applications using AI-powered development workflows and agentic solutions.

- Build scalable applications using React.js, TypeScript, Angular, Python, Java, REST APIs, and microservices.

- Integrate Azure OpenAI/OpenAI APIs, MCP, LangChain, LangGraph, vector databases, and AI gateways such as LiteLLM.

- Drive architecture decisions, secure AI integrations, and end-to-end technical delivery.

- Implement CI/CD pipelines, containerized deployments, and AI quality, performance, and cost monitoring.

What We're Looking For :

- 8+ years of full-stack development experience with architecture-level ownership.

- 2 - 3+ years of hands-on AI/LLM implementation experience in production.

- Strong expertise in React.js, TypeScript, Angular, Python, and Java.

- Practical experience with RAG, AI agents, MCP, vector databases, prompt engineering, and tool/function calling.

- Experience building reusable components or shared platforms adopted by multiple teams.

- Proven technical leadership in delivering complex enterprise applications and AI solutions.

- Strong understanding of API security, OAuth2/OIDC, AI governance, and secure credential management.

- Experience with Docker/Podman, Kubernetes/OpenShift, Azure/AWS, LangGraph, LangSmith/Langfuse, and AI evaluation frameworks will be an added advantage.

Skills

Full Stack, AI Integration, React.js, TypeScript, AngularJS, Python, Java, Microservices Architecture, REST API, LLM, VectorDB

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