Description
At Arcitech.ai, were redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. Were looking for a Python Developer passionate about AI / ML, whos ready to work on scalable, cloud-native platforms and help build the next generation of intelligent, LLM-driven products.
Your Responsibilities
AI / ML Engineering :
- Develop, train, and optimize ML models using Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain.
- Collaborate with data scientists to convert prototypes into production-grade AI applications.
- Integrate NLP, Computer Vision, and Recommendation Systems into scalable products.
- Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.
Backend & Systems Development
Design, develop, and maintain robust Python microservices with REST / GraphQL APIs.Implement real-time communication with Django Channels / WebSockets.Containerize AI services with Docker and deploy on Kubernetes (EKS / GKE / AKS).Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI / ML workloads.Reliability & Automation
Develop background task queues with Celery, ensuring smart retries and monitoring.Implement CI / CD pipelines for automated model training, testing, and deployment.Write automated unit & integration tests (pytest / unittest) with 80% coverage.Collaboration
Contribute to MLOps best practices and mentor peers in LangChain / AI integration.Participate in tech talks, code reviews, and AI learning sessions within the team.Required Qualifications
Bachelors or Masters degree in Computer Science, AI / ML, or related field.2-5 years of experience in Python development with strong AI / ML exposure.Hands-on experience with LangChain for building LLM-powered workflows and RAG systems.Deep learning experience with PyTorch or TensorFlow.Experience deploying ML models and LLM apps into production systems.Familiarity with REST / GraphQL APIs and cloud platforms (AWS / Azure / GCP).Skilled in Git workflows, automated testing, and CI / CD practices.Nice To Have
Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks.Familiarity with Airflow / Prefect / Dagster for data and model pipelines.Background in statistics, optimization, or applied mathematics.Contributions to AI / ML or LangChain open-source projects.Experience with model monitoring and drift detection in production.Why Join Us
Competitive compensation and benefitsWork on cutting-edge LLM and AI / ML applicationsA collaborative, innovation-driven work cultureOpportunities to grow into AI / ML leadership roles(ref : hirist.tech)
Skills Required
S3, Nlp, Ec2, Docker, Celery, Python, Aws, Pytest, Rds, AI ML, Django, Git, Cloudwatch, Kubernetes, Computer Vision