Artificial Intelligence Developer

Description :

We seek a versatile AI Developer who thrives on innovation and rapid technology adoption.This role focuses on developing cutting-edge AI / ML solutions, exploring emerging technologies, and

building proof-of-concepts both independently and collaboratively. You'll drive AI innovation across our product portfolio without requiring prior domain knowledge.

Design and develop AI / ML models and algorithms using modern frameworks and techniques.

Build and deploy GenAI applications using LLMs, RAG systems, and vector databases.

Create innovative proof-of-concepts to explore new AI technologies and use cases.

Implement cloud-native AI solutions with scalable architectures.

Research and evaluate emerging AI technologies for potential integration.

Collaborate with development teams to integrate AI capabilities into existing products.

Optimize AI systems for performance, scalability, and production deployment.

Contribute to technical documentation and knowledge sharing.

Develop new solutions, services or products as Cloud-native solutions.

Implement MLOps practices for continuous integration, deployment, and monitoring of AI

models.

Required Qualifications :

Bachelor's / Master's degree in Computer Science, AI, ML, Data Science, or related technical field.

4+ years of hands-on AI / ML development experience with production deployments with a total experience of 7-8 yrs.

Strong programming skills in Python (preferred) & Node.js.

Sql & No sql exposure is must.

GenAI / LLM expertise : Experience with transformer models, prompt engineering, and LLM orchestration frameworks (LangChain, LlamaIndex).

Cloud : Proficient in AWS (Sagemaker, AWS SDK, MCP & Bedrock) , OR GCP (Vertex AI, ADK, and MCP) for building, integrating, and operationalizing cloud-native AI / ML solutions.

ML / DL proficiency : Solid understanding of machine learning algorithms, deep learning,

and frameworks (TensorFlow, PyTorch, scikit-learn).

Cloud development : Experience with cloud platforms (AWS or GCP preferred) and

containerization (Docker).

Rapid prototyping skills : Ability to quickly build and iterate on proof-of-concepts Selfdirected learning : Demonstrated ability to independently explore and master new technologies.

Strong analytical and problem-solving capabilities.

Tools & Platforms : Vertex AI, Bedrock, SageMaker, ADK, MCP, LangChain, LlamaIndex,TensorFlow, PyTorch, Docker, and Kubernetes.