AI Software Engineering Professional

7 days ago

Lucknow, Uttar Pradesh, India beBeeArtificial Full time ₹ 9,00,000 - ₹ 11,40,000
Job Description

Pursue a Career in AI-Native Solutions Development

We value your time and ours, so please do not apply blindly.

Our team is building innovative AI-native solutions that power applications across the healthcare and fintech sectors. We are seeking a qualified software engineer with hands-on experience in machine learning to assist in designing, building, and scaling production-ready AI systems.

This role combines strong software engineering fundamentals with applied machine learning expertise.

The position is based in Chennai but offers the flexibility of working from home for part of the time. The successful candidate will be responsible for developing and maintaining backend architecture, software development, implementing machine learning algorithms, ensuring efficient performance, and collaborating with front-end developers to integrate user-facing elements.

  • Develop robust backend systems & APIs to deploy and scale ML solutions.
  • Work with cloud-native infrastructure (AWS) to design cost-efficient, high-availability ML pipelines and scalable cloud-supported backend solutions.
  • Implement ML lifecycle workflows — from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
  • Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring, and continuous improvement.
  • Collaborate with founders and cross-functional teams in a startup fast-paced environment.

You will work with founding engineers to embed intelligent agents, predictive models, and decision-making capabilities into backend workflows using predictive learning through ML algorithms.

For this position, we are looking for someone with a Bachelor's / Master's degree in Computer Science, Data Science, AI/ML, 1-3 years of experience in backend development, with a focus on building scalable, distributed systems.

Required skills include programming languages such as MERN, Python, Golang, with Java being optional but desirable. 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.

A suitable candidate should have a mindset: Startup-ready: adaptable, curious, hands-on. Strong ownership + problem-solving. Eager to push Generative AI into real-world adoption.

Benefits:

This role offers the opportunity to work on cutting-edge AI projects, collaborate with experienced professionals, and contribute to the growth of our organization.

What We Offer:

Competitive compensation package, opportunities for professional growth and development, and a dynamic work environment.

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