Iclivia Consultancy Services

#Client #Requirement #ServiingNoticePeriod Company Description ICLIVIA is an AI-driven recruitment solutions provider that helps organizations, HR agencies, and early-career professionals achieve hiring success through innovative and scalable strategies. We specialize in both Tech and Non-Tech hiring, combining advanced technology with industry expertise to deliver efficient, data-backed recruitment outcomes. Our mission is to transform the hiring experience through technology, trust, and tailored solutions that deliver measurable value to our partners and candidates. ICLIVIA supports enterprises, SMEs and HR agencies in streamlining talent acquisition, while also assisting fresh graduates and entry-level talent through job readiness programs. New Role : AI/ML Engineer Experience : 5-7 Years Location : Hyderabad (1st Preference), Bangalore, Mumbai, Chennai, Ahmedabad, and Pune (Only Local Candidates) Work mode : Hybrid. 2 Days Work from Office is mandate Role Description About the Role We are seeking a skilled AI/ML Engineer with expertise in agentic AI workflows and LLM-powered applications. The ideal candidate will design, build, and optimize AI-driven solutions for the healthcare and life sciences domain, ensuring accuracy, scalability, and compliance. Key Responsibilities: Design and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation. Build and integrate LLM-powered agents using AWS Bedrock and open-source frameworks ( LangChain, AutoGen, Llama Index ). Develop event-driven data pipelines leveraging AWS Lambda, Step Functions, and EventBridge . Apply prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication techniques to enhance workflow performance. Integrate AI agents securely with external systems via APIs. Collaborate with data engineers to design PHI/PII-safe ingestion pipelines ensuring regulatory compliance. Monitor, test, and fine-tune AI workflows for accuracy, latency, scalability, and compliance. Work cross-functionally with product and domain experts to deliver regulatory-compliant healthcare/Life Sciences AI solutions. Qualifications : Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). 4–6 years of experience in AI/ML engineering with proven hands-on expertise in LLM/agentic AI development. Strong programming skills in Python and/or TypeScript. Practical experience with frameworks such as LangChain, Llama Index, AutoGen. Familiarity with AWS AI/ML services: Bedrock, SageMaker, Textract, Comprehend Medical. Proficiency in API integration and event-driven architectures. Experience in healthcare/life sciences AI solutions with understanding of regulatory and compliance standards ( HIPAA, GDPR, etc. ) preferred. Strong problem-solving mindset with the ability to experiment, iterate, and optimize rapidly.