Lead Software Engineer - AL/ML (Implementation Engineer)
Tasks
- Build and maintain integration layers
- Configure and deploy services on cloud platforms
- Develop and maintain Python services
- Develop customer specific logic connectors and automations
- Document workflows integration steps and troubleshooting playbooks
- Ensure reliability, observability, and performance
- Implement RAG embedding workflows and NLP modules
- Implement data ingestion transformation and validation pipelines
- Integrate LLM components and retrieval systems
- Mentor junior team members
- Own end to end technical implementation for enterprise accounts
- Perform code reviews and maintain coding standards
- Productionize and optimize ML models
- Translate requirements into technical specifications
- Troubleshoot production issues and perform root cause analysis
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Distributed Systems | Django | Docker | Embeddings | FastAPI | Flask | Google Cloud | Kafka | Kubernetes | LLMs | Microservices | MongoDB | NLP | PostgreSQL | Python | RAG | REST APIs | RabbitMQ
Education
N/A
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