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# AI developer

- **Company:** Infosys
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Continuous Integration, DevOps, Information Extraction, Python (Programming Language), Key Management, Role-Based Access Control, Regression Testing, Software Engineering, Management of Software Versions, Pinecone, Cloud Platform System, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Model Validation, Backend, Agentic-AI, Pgvector, Weaviate, Apache Kafka, Milvus, Invoking Functions, Amazon Simple Queue Service (SQS), Semantic Kernel, OpenSearch, Servicenow
- **Published:** October 15, 2026
- **Apply:** https://www.juju.com/job/16_4d8ecf155

## About the Role

* 4+ years of software engineering experience or equivalent with strong CS fundamentals
 * Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling).
 * Strong proficiency in Python and building back-end services/APIs.
 * Experience with at least one: LangChain / LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks.
 * Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector)
 * Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices
 * Strong understanding of security and privacy principles (PII handling, least privilege, audit logging), * Experience in financial services or other regulated domains (risk controls, compliance audit readiness)
 * Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA)
 * Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing)
 * Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing
 * Exposure to MRM concerns and governance (model cards, risk assessments, validation processes)

## Description

Agentic AI Solution Development

 * Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
 * Implement intent classification information extraction validation and decision logic for servicing workflows
 * Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management)
 * Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds

Knowledge and grounding (RAG)

 * Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance
 * Build knowledge ingestion pipelines with refresh/versioning
 * Improve answer quality via chunking strategies, embeddings re ranking and context management

Quality, Safety and Evaluation

 * Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
 * Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
 * Partner with risk slash compliance to ensure traceability, audit logs, explain ability requirements are met.

Production Readiness and Operations

 * Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).
 * Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).
 * Collaborate with platform and security teams on secrets management, access controls, PII protections, and safe deployments.