Haddows Infotech - AI Engineer

Job Description :

Key Responsibilities :

- Design and build agentic AI systems, including AI agents, chatbots, and multi-step intelligent workflows for enterprise use cases

- Develop AI solutions capable of decision-oriented behavior, such as tool usage, API execution, data retrieval, and contextual reasoning across enterprise systems

- Build intelligent capabilities for:

1. Technical assistance and guided troubleshooting

2. Root-cause analysis using operational and incident data

3. Data-driven recommendations and proactive insights

- Analyze large-scale storage and infrastructure data, including telemetry, performance metrics, logs, alerts, incidents, capacity, utilization, and trends

- Develop predictive and analytical models for :

1. Anomaly and failure detection

2. Capacity forecasting and growth prediction

3. Proactive risk identification

- Apply Generative AI, Machine Learning, or Deep Learning techniques based on problem suitability and business need

- Integrate AI/ML solutions with :

1. APIs and enterprise platforms

2. Databases and monitoring systems

3. Storage and infrastructure management tools

- Implement prompt engineering, agent controls, guardrails, and responsible AI practices to ensure accuracy, grounding, and operational safety

- Build and maintain training, inference, and CI/CD pipelines for AI and ML solutions

- Partner with Storage Infrastructure teams to deliver AI solutions aligned with real-world operational challenges

Must-Have Skills :

- Strong programming skills in Python

- Hands-on experience building AI solutions end-to-end

- Experience with Azure OpenAI / OpenAI or leading open-source models

- Strong understanding of agentic AI design, including orchestration, context management, and tool integration

- Experience integrating AI/ML solutions with APIs, databases, and enterprise systems

- Experience working with operational datasets (logs, metrics, time-series, incident data)

- Strong analytical and problem-solving skills

Good-to-Have Skills :

- Experience with scikit-learn, TensorFlow, or PyTorch

- Background in predictive analytics, anomaly detection, or statistical modeling

- Exposure to CI/CD pipelines and automation for AI/ML solutions

- Ability to create operational dashboards or visualizations to surface data insights (e.g., Power BI or Tableau tools)

- Understanding of enterprise storage concepts, including performance, capacity, and availability