Role Description
AI Engineer
Experience Range: 4-10 Years (AI/ML Engineering, Generative AI, or Data Science Experience)
Hiring Location: Trivandrum, Cochin, Pune, Noida, Chennai, Bangalore, Hyderabad
Must-Have Skills
AI &
- Machine Learning
- Strong experience in designing, developing, testing, and deploying AI/ML solutions.
- Hands-on experience with Generative AI and Large Language Models (LLMs) such as:
- OpenAI
- Anthropic
- Llama
- Experience with prompt engineering and AI application development.
- Knowledge of Machine Learning and Deep Learning concepts.
Programming &
- Data Engineering
- Strong programming skills in:
- Python
- SQL
- Experience building and optimizing data pipelines for AI model training and inference.
- Experience developing scalable APIs and AI-powered services.
Generative AI &
- RAG
- Experience building:
- Retrieval-Augmented Generation (RAG) solutions
- AI Agents / Agentic AI applications
- LLM-based enterprise applications
- Knowledge of:
- Vector Databases
- Semantic Search
- Knowledge Retrieval Architectures
Cloud &
- DevOps
- Experience with at least one cloud platform:
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
- Experience with:
- REST APIs
- Git
- Software Development Best Practices
MLOps &
- Model Lifecycle Management
- Experience implementing MLOps practices including:
- Model Deployment
- Monitoring
- Testing
- Versioning
- Lifecycle Management
- Ability to evaluate, fine-tune, and monitor AI models for accuracy and performance.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management capabilities.
- Ability to collaborate with business, data, and engineering teams.
- Experience translating business requirements into AI solutions.
Positive-to-Have Skills
AI Frameworks &
- Tools
- LangChain
- LangGraph
- Semantic Kernel
- Agentic AI Testing &
- Output Validation
Data Platforms
- Snowflake
- Databricks
- Modern Data Platforms
Containerization &
- DevOps
- Docker
- Kubernetes
- CI/CD Pipelines
Analytics &
- Visualization
- Streamlit
- Power BI
- Tableau
- AI-powered Analytics Dashboard Development
Advanced AI Technologies
- Vector Databases
- Semantic Search
- RAG Optimization Techniques
- LLM Fine-Tuning
- Multi-Agent Frameworks
Governance &
- Security
- Responsible AI practices
- AI Governance
- Enterprise Security Standards
- AI Compliance Frameworks
Skills
Agentic AI, Databricks, Generative AI, Machine Learning, Python, RAG, LLMs, Snowflake, Prompt Engineering, MLOps, LangChain
📌 ML Engineer I :: AI Engineer (Bengaluru)
🏢 UST
📍 Bengaluru