Staff AI Platform & Modernization Engineer

*Job Title: Staff AI Platform & Modernization Engineer - Job Support*

*Engagement Type: Job Support / Mentorship*

*Commitment: 2 to 3 Hours Per Day Monday to Friday*

*Experience Required: 5+ Years Preferred*

*About the Role:*

We are looking for a highly experienced *Staff-level Engineer* to provide dedicated job support for a complex, enterprise-grade *Financial Services Modernization* program.

The core initiative involves modernizing a landscape of approximately *16 interconnected legacy systems* (including *AS/400, DB2, AIX, Caché / InterSystems* based systems) into a modern, cloud-native, auditable System of Record.

This is a *Job Support Role*, not a full-time employment. You will be required to guide, unblock, and provide hands-on technical support to an engineer working on this engagement.

*Key Responsibilities for Support:*

1. *Legacy Discovery & Analysis:* Guide on analyzing legacy codebases, data models, and system dependencies. Support on automated requirements extraction and business rule identification from legacy systems.

2. *AI / Agentic Engineering Support:* Provide support in building AI-accelerated modernization workflows - using LLMs, Agents, and RAG to accelerate code understanding, documentation, and migration planning.

3. *ML Infrastructure & Evaluation:* Support on designing robust evaluation frameworks for AI-generated artifacts, ensuring deterministic, auditable, and compliant outputs for financial services.

4. *RAG & Knowledge Systems:* Help with designing and troubleshooting RAG pipelines over legacy documentation, code, and runbooks.

5. *Backend & Platform Engineering:* Provide guidance on backend design, API modernization, cloud architecture, and data migration strategies from legacy DB2 / Caché to modern stacks.

6. *Problem Solving & Unblocking:* Help debug production-level issues, review code/design, and prepare for client technical discussions.

*Required Technical Skills:*

• *5+ Years* of overall experience in Software Engineering / ML Platform / AI Engineering.

• Strong hands-on experience in *Python, Backend Engineering (APIs, Microservices), and Cloud (AWS/GCP/Azure).*

• Proven experience with *LLMs, RAG, Agentic Frameworks (LangChain, LangGraph or similar), and Vector Databases.*

• Experience with *ML Infrastructure, Model Evaluation, and Production AI Systems.*

• Understanding of *Legacy Systems Concepts* - AS/400, DB2, AIX, Caché, or other mainframe/legacy financial systems is a huge plus.

• Strong knowledge of System Design, Data Migration, and Dependency Analysis.

• Ability to explain complex topics clearly and provide task-level support.

*Who Can Apply:*

• Staff / Senior Engineers, Tech Leads, or Architects who have done enterprise modernization or financial domain work.

• Candidates who can commit *2-3 hours daily from Monday to Friday* for calls, screen-sharing.

• Must have excellent communication and be available during US overlap hours if needed.

Pay: ₹35,000.00 per month

Work Location: Remote