Backend Engineer (AI/Python)
Posted
Summary
Backend engineer building Python services and APIs that support machine learning and Generative AI applications — integrating LLM/RAG pipelines, AI agents and vector databases, implementing Responsible AI controls, and deploying and monitoring solutions in cloud environments. Requires strong Python, backend/API skills and AI/ML experience.
Location:
Central
Key Responsibilities
Develop Python backend services and APIs supporting machine learning and Generative AI applications.
Build and integrate LLM, RAG, prompt workflows, AI agents, vector databases, and model pipelines.
Test and evaluate AI solutions for accuracy, reliability, safety, bias, and performance.
Implement Responsible AI controls, including guardrails, audit logging, access controls, and human oversight.
Deploy and support AI solutions in cloud/GCC environments, working with DevOps, security, data, and platform teams.
Monitor and troubleshoot model performance, hallucination risks, integrations, and production issues.
Requirements
Degree in Computer Science, Software Engineering, IT, or a related field with min. 1-2 years of relevant experience.
Strong hands‑on experience in Python, backend/API development, and AI/ML frameworks.
Experience with LLMs, prompt engineering, RAG, embeddings, vector databases, or AI agents would be advantageous.
Understanding of MLOps/LLMOps, model evaluation, monitoring, logging, and production support.
Familiarity with AWS/GCC, CI/CD, DevSecOps, Responsible AI, security, and data privacy.
Strong troubleshooting, communication, and documentation skills.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Central
Key Responsibilities
Develop Python backend services and APIs supporting machine learning and Generative AI applications.
Build and integrate LLM, RAG, prompt workflows, AI agents, vector databases, and model pipelines.
Test and evaluate AI solutions for accuracy, reliability, safety, bias, and performance.
Implement Responsible AI controls, including guardrails, audit logging, access controls, and human oversight.
Deploy and support AI solutions in cloud/GCC environments, working with DevOps, security, data, and platform teams.
Monitor and troubleshoot model performance, hallucination risks, integrations, and production issues.
Requirements
Degree in Computer Science, Software Engineering, IT, or a related field with min. 1-2 years of relevant experience.
Strong hands‑on experience in Python, backend/API development, and AI/ML frameworks.
Experience with LLMs, prompt engineering, RAG, embeddings, vector databases, or AI agents would be advantageous.
Understanding of MLOps/LLMOps, model evaluation, monitoring, logging, and production support.
Familiarity with AWS/GCC, CI/CD, DevSecOps, Responsible AI, security, and data privacy.
Strong troubleshooting, communication, and documentation skills.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.