
AI Software Developer
23 hours ago
We are seeking a highly skilled Artificial Intelligence Software Developer to join our team. As a key member of our organization, you will play a critical role in designing and building scalable, efficient, and effective AI systems.
About the Role
This is a full-time hybrid role that combines strong software engineering fundamentals with applied machine learning expertise. You will be responsible for building robust backend systems & APIs to deploy and scale ML solutions, working with cloud-native infrastructure (AWS) to design cost-efficient, high-availability ML pipelines and scalable cloud-supported backend solutions, and implementing ML lifecycle workflows — from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
Responsibilities:
- Data Ingestion and Preprocessing: Design and develop data ingestion and preprocessing pipelines to ensure high-quality data is fed into machine learning models.
- Model Serving and Monitoring: Implement model serving and monitoring mechanisms to ensure accurate predictions and identify areas for improvement.
- Continuous Improvement: Collaborate with cross-functional teams to embed intelligent agents, predictive models, and decision-making capabilities into backend workflows using Predictive learning through ML algorithms.
- Cloud and Infrastructure Management: Work with founding engineers to manage cloud-based infrastructure, ensuring scalability, security, and cost-effectiveness.
Requirements:
- Bachelor's / Master's degree in CS, Data Science, AI/ML.
- 1-3 years of experience in backend development, with a focus on building scalable, distributed systems.
- Programming languages: MERN, Python, Golang. Java is optional but definitely a plus.
- Databases: Strong experience with PostgreSQL + familiarity with NoSQL/MongoDB.
- MLOps & Infrastructure: Knowledge of MLflow, Kubeflow, DVC, CI/CD pipelines, Docker, Kubernetes.
- Cloud & Infra: AWS SageMaker/Bedrock, GCP Vertex AI, Azure AI.
- Versioning & Collaboration: Git, GitHub/GitLab, code reviews, unit testing.
- Ability to write clean, modular, and scalable code with strong debugging & testing discipline.
- Design backend APIs to support AI-driven process optimization and NLP-powered automations.
- Startup-ready mindset: adaptable, curious, hands-on.
- Strong ownership + problem-solving.
- Eager to push Generative AI into real-world adoption.
What We Offer
As a highly skilled AI Software Developer, you will bring your passion for Machine Learning and software engineering to our team. With your strong foundation in computer science and experience in backend development, you will be able to design and build scalable, efficient, and effective AI systems.
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