Python Developer

Profile: Python Developer

Skills: Python with Ai agents, HCC client, Health domain

Telugu Communication Is Mandatory.

Experience: 6+ Years

Working Hours: 3–4 hours per day (Between 6 PM IST to 1 AM IST)

Working Days: Monday To Friday

Location: Remote

Role Overview

We are looking for an experienced Python Developer with strong AI/Agentic AI experience to work on a healthcare application that automates parts of the medical-record and claims review process.

The solution processes medical documents/images, extracts and enriches information using source-of-truth systems and APIs, and applies AI/agent-based reasoning against business rules and workflow logic. The final recommendation is presented to a human reviewer for validation, creating a Human-in-the-Loop AI workflow.

Key Responsibilities

Develop and maintain Python-based AI/GenAI services and agent workflows.

Build agentic workflows using LangGraph and related LLM technologies.

Implement AI-driven reasoning against business rules, decision trees, and flowcharts.

Develop document/image processing and medical data extraction pipelines.

Integrate AI services with enterprise APIs and source-of-truth systems.

Design and develop scalable microservices and REST APIs.

Work within an Azure cloud environment, including Azure Red Hat OpenShift (ARO).

Integrate AI components with existing Java-based microservices and backend services.

Implement data persistence and interaction with databases.

Support the end-to-end workflow: Document → Extraction → Enrichment → AI Reasoning → Recommendation → Database → UI → Human Review.

Build reliable Human-in-the-Loop (HITL) mechanisms for reviewer agreement/disagreement with AI recommendations.

Collaborate with Java developers, AI/ML engineers, architects, QA, and healthcare-domain teams.

Write clean, maintainable, testable, and production-ready Python code.

Troubleshoot, optimize, and monitor AI-agent workflows and microservices.

Required Skills

Strong hands-on experience with Python development.

Strong understanding of Generative AI / Agentic AI concepts.

Hands-on experience with LangGraph or similar AI agent orchestration frameworks.

Experience working with LLMs, prompt engineering, tool/function calling, and structured outputs.

Experience building AI-powered workflows or decision-making systems.

Strong experience developing REST APIs and microservices.

Experience with Azure cloud services.

Knowledge of Azure Red Hat OpenShift (ARO) or OpenShift-based deployments.

Experience integrating applications with external/enterprise APIs.

Good understanding of databases and data persistence.

Experience with Docker/containerized applications and CI/CD.

Strong software engineering, debugging, and problem-solving skills.

Good to Have

Healthcare/Health Insurance domain experience.

Experience with medical records, claims processing, clinical documentation, or utilization management.

Experience with OCR, document intelligence, medical document/image extraction, or NLP.

Experience with RAG, vector databases, embeddings, and semantic search.

Experience implementing Human-in-the-Loop AI systems.

Knowledge of Java/Spring Boot microservices.

Experience with Azure OpenAI or other enterprise LLM platforms.

Experience with observability, logging, and monitoring of AI applications.

Technical Environment

Telugu Communication Is Mandatory.

Primary: Python, LangGraph, GenAI, AI Agents, LLMs

Cloud: Microsoft Azure, ARO/OpenShift

Architecture: Microservices, REST APIs

Backend: Java/Spring Boot + Python AI services

AI: Agentic AI, LLMs, Prompt Engineering, RAG

Data: SQL/NoSQL databases, APIs

Deployment: Docker, Kubernetes/OpenShift, CI/CD

Business Workflow

Medical Document / Image

↓

Data Extraction

↓

Enrichment from Source-of-Truth Systems / APIs

↓

AI Agent Reasoning + Business Rules / Flowchart

↓

Recommendation / Decision

↓

Database

↓

UI

↓

Human Reviewer – Agree / Disagree

↓

Final Decision

Ideal Candidate

The ideal candidate is a strong Python engineer who has moved beyond traditional backend development into Agentic AI/GenAI application development, with practical experience building LLM-powered workflows using LangGraph. Healthcare or health-insurance experience is highly desirable, particularly exposure to medical records or claims-processing workflows.

Pay: From ₹30,000.00 per month

Experience:

• Python: 6 years (Required)
• AI Agent: 4 yea…