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.
5+ 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++).

Work arrangement
Hybrid