The Platform Engineer Agentic AI Job is a high-impact opportunity for experienced engineers who want to build production-grade agentic AI systems for financial research, portfolio optimization, and credit analysis.
This role is part of a lean, early-stage engineering team working at the intersection of AI systems, financial markets, and high-performance infrastructure. The focus is on reliability, observability, latency, and real-world deployment, not prototypes.
Platform Engineer Agentic AI Job
📑 Table of Contents
- About the Role
- Job Overview
- Key Responsibilities
- Skills and Expertise You Will Use
- Experience and Requirements
- Why This Opportunity
- How to Apply
1️⃣ About the Role
This role contributes to building agentic AI platforms that automate and accelerate financial workflows that were previously impossible to execute manually.
The platform enables:
- Faster financial research
- Cost-efficient portfolio optimization
- Scalable credit and market analysis
You will work closely with real users, shipping systems that operate under real financial constraints such as latency, correctness, auditability, and uptime.
Platform Engineer Agentic AI Job
2️⃣ Job Overview
Role: Platform Engineer – Agentic AI Solutions
Domain: Financial Markets and AI Systems
Location: Mumbai, Maharashtra
Experience Required: 3–7 Years
Compensation: ₹3M – ₹5M INR
Job Type: Full Time
This is a hands-on platform engineering role, not a research-only position.
Platform Engineer Agentic AI Job
3️⃣ Key Responsibilities
As a Platform Engineer working on Agentic AI Systems, you will:
🔹 Platform and Infrastructure Ownership
- Design, build, and operate core infrastructure for agentic AI systems
- Ensure high availability, reliability, and predictable performance
- Own systems end-to-end in production environments
🔹 Data Pipelines and Systems
- Design and maintain data pipelines for:
- Market data
- Financial news
- Analytics signals
- Internal datasets
- Ensure data correctness, freshness, and performance
🔹 Performance and Latency Optimization
- Measure and reduce end-to-end system latency
- Build tooling to track performance continuously
- Optimize systems for real-time and near-real-time use cases
🔹 Evaluation and Experimentation Infrastructure
- Build infrastructure for:
- Agent evaluation
- Benchmarking
- Experimentation
- Enable fast iteration without compromising production stability
🔹 Monitoring, Observability, and Reliability
- Implement:
- Logging
- Metrics
- Tracing
- Alerting
- Improve debuggability of complex agentic workflows
🔹 Security and Production Best Practices
- Implement best practices for:
- Access control
- Secrets management
- System isolation
- Ensure systems are audit-friendly and production-ready for financial use cases
Platform Engineer Agentic AI Job
4️⃣ Skills and Expertise You Will Use
You will work extensively with:
- Backend and platform engineering fundamentals
- Distributed systems and system design
- Asynchronous systems, queues, and pipelines
- Cloud infrastructure (AWS, GCP, or Azure)
- Monitoring and observability tooling
- Performance optimization and latency tuning
- Secure, production-grade infrastructure patterns
Platform Engineer Agentic AI Job
5️⃣ Experience and Requirements
🧠 Core Experience
- 3+ years of experience building backend or platform systems
- Experience operating production systems with real users
- Strong understanding of engineering trade-offs and system design
⚙️ Infrastructure and Reliability
- Hands-on cloud experience (AWS, GCP, or Azure)
- Experience with monitoring, debugging, and incident response
- Comfort working with evolving requirements and ambiguity
💡 Engineering Mindset
- Strong ownership and accountability
- Bias toward simple, robust solutions
- Ability to solve open-ended platform problems
Platform Engineer Agentic AI Job
6️⃣ Why This Opportunity
- Work in a small, high-ownership engineering team
- Build core platform foundations early in the company journey
- Solve deep problems at the intersection of AI and financial markets
- Direct influence on system reliability, latency, and user experience
- Exposure to real-world financial constraints and production AI systems
7️⃣ How to Apply
📌 Apply through the official hiring channel
📄 Highlight the following in your resume:
- Backend or platform engineering projects
- Production system ownership
- Cloud infrastructure and reliability experience
- Performance optimization or low-latency systems
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