Senior AI Developer

Job Title: Senior AI Developer

Job Type: Full-time

Experience: 6+ Years

Location: Noida

Job Role: Responsible for designing, developing, and deploying AI-driven applications and intelligent agents using Teradata Vantage and Python. The role involves leveraging ClearScape Analytics, Enterprise Vector Store, and modern AI/ML frameworks to build scalable, data-driven solutions. The candidate will work closely with data architects and business stakeholders to translate complex data into actionable insights and high-impact AI applications.

Experience:

• Total Experience: 6+ years in software development, AI/ML, and data-driven application development
• Relevant Experience: Minimum 5 years in AI/ML development, including model building, deployment, and optimization

Education Qualification:

• Min. Education: B.E / B.Tech / MCA in Computer Science or equivalent

Technical Skills:

• Programming: Python (NumPy, Pandas, SciPy, etc.)
• AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• Data Platform: Teradata Vantage, SQL, Large-scale data processing
• AI Technologies: Agentic AI, LLM Integration, RAG Pipelines
• LLM Frameworks: LangChain, AutoGen, CrewAI
• LLMs: OpenAI, Claude, Gemini
• APIs & Architecture: REST APIs, Microservices Architecture
• Data Handling: Structured & Unstructured Data Processing
• Cloud & Deployment: Cloud-native architectures and scalable deployments

Relevant Skills:

• Designing and developing AI/ML models and intelligent applications
• Strong expertise in Python and data science ecosystem
• Hands-on experience with Teradata Vantage and enterprise data platforms
• Building and deploying Agentic AI systems for enterprise use cases
• Integrating Large Language Models with enterprise data using orchestration frameworks
• Developing Retrieval-Augmented Generation (RAG) pipelines
• Creating scalable APIs and microservices for AI integration
• Working with large datasets to generate actionable insights
• Collaborating with cross-functional teams including data architects and business stakeholders

Roles & Responsibilities:

• Design, build, and deploy AI and machine learning models using Python and Teradata Vantage
• Develop advanced Agentic AI systems for enterprise applications
• Leverage ClearScape Analytics for in-database analytics and model execution
• Integrate enterprise data with LLMs using frameworks like LangChain, AutoGen, or CrewAI
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Enterprise Vector Store
• Develop scalable APIs and microservices to embed AI capabilities into applications
• Work with large enterprise datasets to derive insights and improve model performance
• Collaborate with data architects and stakeholders to translate business requirements into AI solutions
• Optimize models for performance, scalability, and reliability
• Maintain documentation, best practices, and coding standards

If you are passionate about building cutting-edge AI solutions and working with enterprise-grade data platforms and LLM technologies, this role is for you.

Apply Now or share your resumes at: [Confidential Information]

Thanks & Regards,

TA Team