AI Engineer - Machine Learning

About the Role :We are seeking an experienced AI Engineer with 5+ years of experience in building AI/ML solutions and designing Generative AI applications for enterprise use cases. The ideal candidate should have hands-on experience developing scalable AI-powered solutions, including Retrieval-Augmented Generation (RAG) systems, intelligent assistants, AI agents, and workflow automation solutions. The candidate should possess strong expertise in Large Language Models (LLMs), prompt engineering, vector databases, and modern AI frameworks. Exposure to Clinical Research, Life Sciences, Healthcare, or Pharmaceutical domains will be considered a significant advantage.Key Responsibilities :- Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.- Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, and semantic search techniques.- Develop AI-powered assistants, agents, and intelligent workflows using modern AI frameworks and orchestration tools.- Collaborate with business stakeholders, product teams, and domain experts to understand requirements and translate them into scalable AI solutions.- Integrate AI services with enterprise applications, APIs, databases, and cloud platforms.- Evaluate, monitor, and improve model performance, accuracy, reliability, and user experience.- Implement best practices related to AI architecture, model evaluation, governance, and deployment.- Stay updated with emerging AI technologies and recommend innovative approaches to solve business challenges.Required Skills & Experience :- 5+ years of experience in AI/ML, Data Science, or Generative AI development.- Strong programming skills in Python and familiarity with software engineering best practices.- Hands-on experience with Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs).- Experience designing and implementing Generative AI solutions and applications.- Strong experience building and deploying RAG-based solutions.- Experience with embeddings, vector databases, semantic search, prompt engineering, and model evaluation techniques.- Familiarity with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.- Experience developing and consuming REST APIs.- Working knowledge of cloud platforms such as AWS, Azure, or GCP.- Understanding of AI deployment, monitoring, and optimization practices.- Experience with AI tools (Claude, Cursor, etc.).Professional Attributes :- Strong analytical and problem-solving capabilities.- Ability to translate business requirements into scalable AI solutions.- Excellent communication skills.- Ability to work independently as well as collaboratively within cross-functional teams.- Strong learning mindset with a passion for emerging AI technologies and innovation.- Ability to effectively manage multiple priorities in a fast-paced environment.Experience & Qualification :- Bachelor's or Master's degree in Computer Science or a related field.- Minimum 5 years of relevant experience in AI/ML and Generative AI solution development.- Exposure to Clinical Research, Healthcare, Pharmaceutical, or Life Sciences domains is highly desirable.- Experience building AI agents, multi-agent systems, or enterprise AI solutions will be an added advantage.- Experience building front-end applications using technologies such as React, Angular, JavaScript, or TypeScript would be a plus.- Strong client-facing consulting experience, with experience leading PoCs.- Lead solution discovery workshops, requirement-gathering sessions, and technical consulting engagements with client stakeholders.- Own the complete product lifecycle design, develop, and deploy AI-powered products, accelerators, PoCs, and MVPs from concept to production.- Build production-quality software and intelligent applications using LLMs, RAG, AI Agents, MCP, vector databases, and workflow orchestration.- Full-stack development experience and the ability to build end-to-end AI-powered applications will be considered an additional advantage. (ref:hirist.tech)