IMMEDIATE JOINERS REQUIRED :

Join Architect, where we're developing intelligent, high-impact solutions that blend backend excellence with cutting-edge AI applications.

What You'll Do :

- Architect and build robust Python applications using Django/FastAPI with REST/GraphQL APIs.

- Design end-to-end AI/ML pipelines with PyTorch, TensorFlow, and LangChain for production use cases.

- Build LLM and RAG systems using LangChain/LangGraph, integrating OpenAI, Anthropic Claude, and Azure OpenAI APIs.

- Work with Hugging Face Transformers for model fine-tuning and deployment of transformer architectures (BERT, GPT, LLaMA).

- Design PostgreSQL databases with pgvector and integrate vector databases (Pinecone, Weaviate, FAISS) for semantic search.

- Deploy and monitor ML models with MLflow, Docker, Kubernetes, and AWS infrastructure (SageMaker, Lambda, EC2).

- Implement Redis caching, Celery for background tasks, and CI/CD pipelines with - 80% test coverage.

- Collaborate through code reviews, API documentation, and Agile methodologies.

What We're Looking For :

- 2-5 years of Python (3.9+) development with strong AI/ML background.

- Hands-on experience with LangChain, LangGraph, PyTorch/TensorFlow, and LLM APIs.

- Strong proficiency in Django/FastAPI, PostgreSQL with pgvector, and REST/GraphQL APIs.

- Experience with MLOps tools (MLflow, Weights & Biases), Docker, Kubernetes, and AWS cloud services.

- Knowledge of AI security principles, automated testing (pytest), and Git workflows.

- Bachelor's or Master's degree in Computer Science, AI/ML, or related field.

- Excellent communication and analytical thinking skills.

Bonus Points :

- Experience with advanced LLM fine-tuning (LoRA, QLoRA, RLHF) or model optimization techniques.

- Familiarity with workflow orchestration (Airflow, Prefect), infrastructure as code (Terraform), or model serving frameworks.

- Background in statistics, optimization, or open-source AI/ML contributions.

Why Join Us :

- Competitive compensation and benefits.

- Work on cutting-edge LLM and AI applications in a collaborative, innovation-driven culture.

- Growth opportunities into AI/ML leadership roles with access to latest tools and learning budget.