AI Developer

Roles & 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.

Required Qualifications

• Bachelor's/master’s degree in computer science/civil engineering, AI, ML, Data Science, or related technical field.
• Prior experience in the Civil Engineering domain or an educational background in Civil Engineering.
• 4+ years of hands-on AI/ML development experience with production deployments with a total experience of 7-8 years.
• 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 Self directed learning: Demonstrated ability to independently explore and master technologies
• Strong analytical and problem-solving capabilities.
• Tools & Platforms: Vertex AI, Bedrock, SageMaker, ADK, MCP, LangChain, LlamaIndex, TensorFlow, PyTorch, Docker, and Kubernetes.

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Good To Hav

• 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 publication.
• Experience with agile development methodologies and cross-functional collaboration.
• Knowledge of additional programming languages (C#, C++).