Generative AI Engineer

About eBasics Global

eBasics Global Pvt. Ltd. is a technology-driven software company building innovative digital products

powered by Artificial Intelligence, cloud technologies, and modern engineering.

One of our flagship products, Narzim Healthcare, is an AI-powered healthcare platform designed to

simplify clinical workflows, patient documentation, healthcare operations, and medical record

management. Leveraging Generative AI, AI Agents, and intelligent automation, we are building solutions that empower healthcare professionals to deliver better patient care while reducing administrative burden.

Role Overview

The candidate will be responsible for building AI agents, LLM-powered applications, retrieval-augmented generation (RAG) systems, and healthcare workflow automation. The ideal candidate should have practical experience taking AI solutions from concept to production. They should be comfortable working with large language models, Python-based backend services, APIs, databases, and cloud infrastructure. This role requires an engineer who can independently implement AI features and collaborate with backend, frontend, and product teams.

Key Responsibilities

AI Agents & Agentic Workflows

• Design, develop, and deploy AI Agents for healthcare and administrative workflows.
• Build autonomous workflows capable of retrieving information, using tools, executing multi-step tasks, and interacting securely with application APIs.
• Implement agent orchestration, structured outputs, memory, state management, tool calling, and human approval workflows.
• Develop reusable AI Agent components that support multiple healthcare use cases.
• Implement error handling, retries, permission controls, execution limits, and audit trails.

Generative AI & LLM Integration

• Integrate and optimize Large Language Models such as OpenAI, Anthropic, AWS Bedrock, or equivalent platforms.
• Develop prompt pipelines, structured outputs, context management, and model routing strategies.
• Optimize AI applications for accuracy, latency, scalability, and operational cost.
• Build reusable AI services and evaluation frameworks to ensure consistent model performance.

AI Medical Scribe & Clinical Documentation

• Develop AI-powered medical scribing solutions that convert doctor-patient conversations into structured clinical documentation.
• Integrate speech-to-text, transcription, and speaker diarisation technologies.
• Generate draft SOAP notes, patient summaries, and structured clinical records for physician review.
• Extract symptoms, medications, allergies, diagnoses, medical history, assessments, and follow-up recommendations.
• Continuously improve documentation quality, completeness, and transcription accuracy.

Retrieval-Augmented Generation (RAG)

• Design and implement RAG pipelines using embeddings, vector databases, semantic search, and metadata filtering.
• Build intelligent search capabilities for patient records and healthcare knowledge.
• Develop context-aware patient summaries and source-grounded AI responses.
• Continuously evaluate retrieval quality and reduce hallucinations.

Patient Intelligence & Healthcare Automation

• Build AI-powered Patient 360 summaries using authorized patient information.
• Develop AI assistants that prepare referrals, patient instructions, draft documentation, and clinical notes.
• Automate repetitive healthcare workflows using intelligent AI Agents.
• Integrate AI capabilities into existing clinical and patient management workflows while ensuring appropriate human oversight.

Backend Development & System Integration

• Build scalable AI backend services using Python and FastAPI.
• Develop secure REST APIs and integrate AI services with existing healthcare applications.
• Work with PostgreSQL, asynchronous processing, background workers, and event-driven architectures.
• Design reusable and scalable backend services following modern software engineering practices.

AI Evaluation, Monitoring & Optimization

• Develop automated evaluation pipelines for AI Agents, RAG systems, and generated clinical
• documentation.
• Monitor response quality, latency, failures, token consumption, and infrastructure costs.
• Implement observability using tools such as Langfuse, OpenTelemetry, or equivalent platforms.
• Continuously improve AI quality using production metrics, testing, and user feedback.

Security & Healthcare Data Privacy

• Develop AI systems following secure software engineering practices.
• Implement secure API integrations, tenant isolation, audit logging, and least-privilege access.
• Protect AI systems against prompt injection, unsafe tool execution, and sensitive data exposure.
• Support HIPAA-aligned engineering practices and healthcare data privacy requirements.

Required Skills

• Strong proficiency in Python.
• Experience building backend applications using FastAPI, Flask, or similar frameworks.
• Hands-on experience with OpenAI, Anthropic, AWS Bedrock, or equivalent LLM platforms.
• Experience building AI Agents using LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong understanding of RAG architectures, embeddings, vector databases, and semantic search.
• Experience with SQL, PostgreSQL, REST APIs, and backend integrations.
• Familiarity with Docker, Git, CI/CD, and AWS or similar cloud platforms.
• Understanding of prompt engineering, structured outputs, model evaluation, and AI optimization.
• Experience building and deploying production-grade AI applications.

Preferred Qualifications

• Experience working on Healthcare AI, Medical NLP, Clinical Documentation, or Medical Scribing solutions.
• Familiarity with EHR/EMR systems and healthcare workflows.
• Knowledge of FHIR, HL7, or SMART on FHIR.
• Experience with speech-to-text, transcription, or speaker diarisation technologies.
• Familiarity with vector search technologies such as vector, OpenSearch, Pinecone, or Weaviate.
• Exposure to Next.js or TypeScript is an added advantage.

Candidates with exceptional AI engineering expertise and strong production experience are encouraged to apply even without prior healthcare domain experience.

Why Join eBasics Global?

• Build cutting-edge AI solutions with real-world healthcare impact.
• Work on AI Agents, Generative AI, RAG, and enterprise-scale LLM applications.
• Be part of the team developing Narzim Healthcare, an AI-first healthcare platform.
• Collaborate with experienced engineers in a fast-paced, innovation-driven environment.
• Enjoy opportunities for continuous learning, ownership, and professional growth.