At Think, we’re building intelligent systems that merge scalable backend engineering with cutting-edge AI/ML. We’re looking for someone who can design resilient infrastructures, craft APIs, and bring ML models to life in real-world products.
What You’ll Do
- Design & implement backend services and APIs (Python, FastAPI, Flask, Django).
- Build & refine ML/NLP models powering intelligent product features.
- Prepare & manage structured + unstructured datasets for training & evaluation.
- Develop data pipelines & orchestration workflows for backend + AI tasks.
- Integrate AI-driven features (RAG pipelines, embeddings, automation).
- Ensure security, performance, reliability of services.
- Collaborate across teams to ship enterprise-grade solutions.
- Stay ahead on ML, NLP, and backend architecture trends.
What We’re Looking For
- Bachelor’s/Master’s in CS, Engineering, or related field.
- 3+ years backend dev experience in Python.
- Strong background in system design, APIs, backend architecture.
- Hands-on with ML frameworks (PyTorch, TensorFlow) + familiarity with LLMs.
- Experience with RAG pipelines, vector DBs (Qdrant, Pinecone, Weaviate).
- Knowledge of cloud platforms (AWS/GCP) + Docker/Kubernetes.
- Familiar with security best practices (auth, encryption, tokenization).
- Bonus: ETL/orchestration tools (Airflow, Prefect, Dagster).
- Problem-solver who can own features end-to-end.
Interested? Apply directly here on LinkedIn or send your CV to [email protected]
