Careers at Plexibit
Build production AI systems that ship value, not demos. Work with regulated industries on problems that matter.
Why join us
What makes Plexibit different
Real impact
Build systems processing millions of requests for BFSI, Healthcare, and Pharma. Your work directly impacts business outcomes.
Cutting-edge tech
LLMs, RAG, MLOps, vector databases. Work with the latest AI technologies in production, not just notebooks.
Ownership
Own features end-to-end. Design, build, deploy, and monitor. No throwing code over the wall.
Continuous learning
Work across diverse industries and use cases. Every project teaches you something new about production AI.
Remote-friendly
Work from anywhere in India. Flexible hours, async-first communication, focus on outcomes.
Competitive pay
Market-rate compensation, performance bonuses, and equity options for senior roles.
Open positions
Current opportunities to join our team
Senior ML Engineer
Build production LLM applications, RAG systems, and MLOps platforms for regulated industries. Strong Python, PyTorch/TensorFlow, and production deployment experience required.
Key requirements:
- Production ML experience (not just research/notebooks)
- Strong Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with LLMs, embeddings, or RAG systems
- Cloud deployment (AWS/GCP/Azure)
- SQL, data pipelines, and API design
MLOps Engineer
Build CI/CD for ML, model serving infrastructure, monitoring, and observability systems. Help teams deploy ML models reliably at scale.
Key requirements:
- Strong DevOps/SRE background with ML context
- Kubernetes, Docker, Terraform, CI/CD tools
- Experience with MLflow, Kubeflow, or similar platforms
- Monitoring and observability (Prometheus, Grafana)
- Python and scripting languages
Senior Data Engineer
Design and build data pipelines, ETL workflows, and data infrastructure for ML systems. Work with Snowflake, BigQuery, Airflow, and Spark.
Key requirements:
- Production data pipeline experience
- SQL mastery and data warehousing (Snowflake, BigQuery, Redshift)
- Airflow, dbt, or similar orchestration tools
- Python and Spark for data processing
- Data quality, testing, and observability
Don't see your role?
We're always looking for talented ML engineers, data scientists, and MLOps specialists. Send us your resume and tell us what you're passionate about.
Send general application →Our hiring process
What to expect when you apply
Application
Submit your resume and a brief note about why you're interested
Initial call
30-min chat to discuss your background and what you're looking for
Technical round
System design or take-home project (your choice)
Final chat
Meet the team, discuss compensation, and finalize details
Typical timeline: 1-2 weeks from application to offer. We move fast and respect your time.
Ready to join us?
Apply for an open position or send us a general application. We'll get back to you within 2 business days.
Apply now