Note: The job is a remote job and is open to candidates in USA. CitiusTech is a healthcare technology company focused on digital innovation, business transformation, and next-generation healthcare solutions. The AI Lead Engineer will design, develop, and deploy agentic AI and retrieval-augmented generation systems, while managing data pipelines, cloud-native implementations, DevOps practices, search integrations, and machine learning model improvements.
Responsibilities
- Design, develop, and deploy Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, or ADK , enabling autonomous and multi-agent workflows
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines , including:
- Search & retrieval strategies
- Context-aware generation
- Guardrails for safety and compliance
- Evaluation frameworks for accuracy and performance
- Develop and manage data pipelines and integrations using SQL and NoSQL databases , ensuring efficient storage, retrieval, and processing of structured and unstructured data
- Collaborate with cross-functional teams to implement Cloud-native solutions , preferably on Google Cloud Platform (GCP) , ensuring scalability, reliability, and performance
- Apply DevOps best practices including CI/CD pipelines, version control, monitoring, and automated deployments for AI/ML applications
- Leverage modern AI developer tools such as GitHub Copilot, Claude, Codex , etc., to improve development productivity and code quality
- Implement and integrate search and indexing solutions (e.g., Elasticsearch, Solr, Azure Cognitive Search ) to enhance retrieval efficiency in AI applications
- Contribute to machine learning model development , evaluation, and fine-tuning to improve system intelligence and performance
Skills
- 1. Expertise in at lease one agentic development framework - ADK/LangChain/Langgraph/CrewAI
- 2. Hands-on experience in implementing RAG solution - Search & Retrieval, Generation, Guardrails, Evaluation
- 3. Experience in working with SQL and NOSQL databases
- 4. Functional DevOps knowledge
- 5. Experience working in Cloud environments - preferably GCP
- 6. Actively uses and knows AI developer tools - Claude/Codex/Github copilot
- Engineering Degree – BE / ME / BTech / M Tech / B.Sc. / M.Sc
- Location: - Remote
Benefits
- Remote work arrangement
- Continuous learning opportunities
- Opportunity to grow into advanced or leadership roles in AI
- Work-life balance
Company Overview
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