GenAI Full-Stack Engineer | Hybrid & AI Platforms

Persistent Systems Limited; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hours

Hybrid work model

Long Service awards

Education and certifications support

Insurance coverage

Job summary

Persistent Systems Limited is seeking an AI Developer to design, build, and optimize document ingestion, extraction, validation, and comparison capabilities to modernize Middle Office authorization workflows. You will deliver AI models with confidence scoring, handle exceptions, and integrate systems using Python and Java back-end services.

The role emphasizes hands-on work with Agentic AI, LangChain, RAG, and ADK, plus strong Python and Java backend skills.

Qualifications

• 8+ years of software development experience.
• Strong hands-on experience in Python.
• Strong hands-on experience in Java backend development.
• Hands-on experience in developing AI/ML or Generative AI projects.
• REST APIs and distributed systems design.
• Hands-on experience on Python, LLMs, GenAI, and agent-based systems.

Responsibilities

• Design, build, and optimize document ingestion, extraction, validation, and comparison capabilities.
• Hands-on delivery of AI models, confidence scoring, exception handling, and system integrations.
• Develop back-end services using Java (Spring Web Flux) and REST APIs.
• Collaborate with LangChain, RAG, and ADK to implement agents and workflows.
• Ensure observability, testing, and reliability of AI-enabled pipelines.

Skills

Python

Java backend

REST APIs

Kafka

Redis

Agentic AI

LangChain

RAG

Neo4j

Observability

Tools

ADK

LangChain

Neo4j

Job description

Persistent Systems Limited is seeking an AI Developer to design, build, and optimize document ingestion, extraction, validation, and comparison capabilities to modernize Middle Office authorization workflows. You will deliver AI models with confidence scoring, handle exceptions, and integrate systems using Python and Java back-end services.

The role emphasizes hands-on work with Agentic AI, LangChain, RAG, and ADK, plus strong Python and Java backend skills.