Artificial Intelligence Developer

Role & responsibilities:

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.

Preferred candidate profile

• 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.

GOOD TO HAVE

• Experience with vector databases, embeddings, and semantic search technologies

• Knowledge of MLOps practices and AI model lifecycle management

• Familiarity with microservices architecture and API development

• Experience with AI safety, responsible AI practices, and bias mitigation

• Contributions to open-source AI/ML projects or technical publications

• Experience with agile development methodologies and cross-functional collaboration

• Knowledge of additional programming languages (C#, C++)