π Hiring: AI/M and Gen AI Engineer
β Experience: 5+ Years
β Work Mode:- Remote
β±οΈ Notice Period: Immediate Joiners
(Only immediate joiners & candidates serving notice period)
π About the Role
We are looking for a highly skilled AI/ML Software Engineer to design, build, and productionize enterprise-grade AI solutions. This role focuses on Generative AI, RAG systems, and AI agentβdriven automation, with deployment on Microsoft Azure.
You will collaborate with cross-functional teams including architects, engineers, and business stakeholders to deliver scalable and secure AI solutions that create real business impact.
π Mandatory Skills (Must Have)
- β
Azure AI Ecosystem (Azure Machine Learning, Azure OpenAI, Cognitive Services)
- β
Generative AI & RAG Systems (vector embeddings, retrieval pipelines)
- β
Strong Software Engineering + MLOps (CI/CD, containerization, scalable deployments)
πΌ Key Responsibilities
- Design, develop, and deploy AI/ML models in production environments
- Build and optimize RAG-based applications and AI agent workflows
- Develop scalable data pipelines and integrate with enterprise systems
- Implement MLOps practices for continuous deployment and monitoring
- Work with big data tools to process large-scale datasets
- Ensure security, scalability, and performance of AI systems
- Collaborate with stakeholders to translate business problems into AI solutions
π§ Required Experience & Skills
- 5β8 years of hands-on experience in AI/ML development
- Strong programming and software engineering expertise
- Experience with Azure services (ML, Data Lake, OpenAI, Cognitive Services)
- Knowledge of vector databases and embedding models
- Experience with Databricks, Azure Data Factory, or Kafka
- Familiarity with multi-agent systems / agentic AI frameworks
- Proficiency in TensorFlow, PyTorch, Keras, or Scikit-learn
- Background in NLP, Computer Vision, or Deep Learning
- Experience with SQL/NoSQL databases and ETL pipelines
- Strong analytical and problem-solving skills
Skills:- Artificial Intelligence (AI), Machine Learning (ML), Windows Azure, CI/CD, Retrieval Augmented Generation (RAG) and MLOps