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.(ref : hirist.tech)