Description
Role Overview :
We are seeking a highly skilled and experienced Lead GenAI & Computer Vision Engineer to drive the design, development, and deployment of cutting-edge AI solutions.
This role combines leadership with deep technical expertise in Generative AI (LLMs, RAG, AI Agents) and Computer Vision, enabling the creation of scalable, production-grade AI products that solve real-world business challenges.
Key Responsibilities
- Lead end-to-end development of Generative AI solutions including LLM-based applications, Retrieval-Augmented Generation (RAG) systems, and autonomous AI agents
- Design and implement Computer Vision models for tasks such as image classification, object detection, segmentation, and video analytics
- Develop scalable and efficient deep learning pipelines from data ingestion to model deployment
- Architect robust AI systems, including model serving APIs, microservices, and distributed data pipelines
- Build and optimize RESTful APIs using Flask, FastAPI, or Django
- Ensure high performance, scalability, and reliability of AI systems in production environments
- Implement best practices in MLOps, CI/CD, model versioning, and monitoring
- Work with structured and unstructured datasets (CSV, JSON, image/video data)
- Perform data preprocessing, feature engineering, and dataset curation
- Evaluate model performance and continuously improve accuracy, latency, and efficiency
- Collaborate with product managers, business stakeholders, and engineering teams to translate business requirements into AI-driven solutions
- Participate in client discussions and provide technical insights and feasibility assessments
- Align AI initiatives with organizational goals and product roadmaps
- Lead, mentor, and guide a team of AI/ML engineers and data scientists
- Conduct code reviews, enforce best practices, and ensure high-quality deliverables
- Foster a culture of innovation, learning, and continuous improvement
- Stay updated with the latest advancements in Generative AI, LLMs, and Computer Vision
- Experiment with new tools, frameworks, and architectures to enhance solution capabilities
- Drive adoption of emerging technologies and industry best practices
Experience
Required Skills & Qualifications :
- 7+ years of experience in AI/ML, Data Science, or Data Engineering
- Minimum 2+ years of hands-on experience in Generative AI (LLMs, RAG, AI agents)
- Proven experience in deploying AI solutions in production environments
Technical Skills
- Strong expertise in Python and AI/ML libraries
Hands-on Experience With
- Computer Vision: OpenCV, PyTorch, TensorFlow, NumPy
- GenAI Frameworks: LangChain, LlamaIndex
- Knowledge Graphs & Vector Databases (e., Pinecone, FAISS, Weaviate)
- API development using Flask, FastAPI, or Django
- Strong knowledge of SQL & NoSQL databases
- Experience with cloud platforms: AWS, GCP, or Azure
(ref:hirist.tech)
