
Generative AI Engineer
12 hours ago
Role Overview :
We are seeking a highly skilled and motivated Generative AI Engineer to join our AI research and development team. This role is at the intersection of cutting-edge AI research and practical software development. You will work closely with AI experts, strategists, and external partners to design and build high-impact generative AI solutions, including RAG systems, AI agents, and scalable cloud-based applications.
Key Responsibilities :
AI Solution Design & Development :
- Lead the design and development of Generative AI solutions, including Retrieval-Augmented Generation (RAG), LLM-powered agents, and multi-agent systems.- Translate advancements in AI into real-world, production-ready applications tailored to diverse industry needs.
- Work on full-stack development of generative AI systems, including backend (Python), frontend (React/Angular/Vue.js), and data pipeline Engineering & Model Optimization :
- Implement and optimize LLM pipelines, including embedding models and prompt engineering (e.g., Chain-of-Thought prompting).- Build data ingestion pipelines for structured/unstructured data (including web crawlers and scraping tools).
- Work with transformer models and contribute to deploying and fine-tuning open-source or cloud-based LLMs.
MLOps & DevOps Integration :
- Deploy and maintain LLM applications on cloud platforms (Azure, AWS, or GCP).
- Apply MLOps practices such as CI/CD, containerization, and model monitoring for scalable deployment.
- Document architecture, pipelines, and evaluation results for reproducibility and Collaboration :
- Collaborate with technical and non-technical stakeholders to align solutions with business
Objectives :
- Engage in peer reviews, innovation sessions, and continuous learning activities.
- Participate in technology partnership evaluations and joint development initiatives.
Required Skills & Qualifications :
- Masters degree in Artificial Intelligence, Data Science, Computer Science, Business Informatics, or related field.
- At least 2 years of relevant experience in GenAI or software development roles.
- Strong programming skills in Python and proficiency in frameworks like LangChain, LangGraph, AutoGen, or Azure AI Foundry.
- Solid understanding of transformer architectures, prompt engineering, and AI agent design.
- Hands-on experience with full-stack development, including frontend tools like React, Angular, or Vue.js.
- Proficiency with cloud platforms (Azure, AWS, or GCP) and database systems (SQL).
- Familiarity with DevOps and MLOps practices such as containerization, CI/CD, and automation.
Nice to Have :
- Experience with agent orchestration frameworks (e.g., LangGraph, AutoGen).
- Hands-on experience with Vision-Language Models (VLM) or open-source small language models (SLMs).
- Experience integrating databases with CRM systems like Affinity, including matching logic and schema design.
Key Traits :
- Strong problem-solving and analytical mindset
- Excellent communication and collaboration skills
- Passion for innovation, learning, and applying AI to real-world challenges
- Ability to work in high-performance, cross-functional teams
(ref:hirist.tech)-
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