Posted 15 August, 2026
AI Engineer Offshore
BayOne
India
Full Time
Reference: 365_553037_26-03026
AI Solution Development
Design, build, and maintain AI-powered applications and services.
Develop Generative AI solutions using OpenAI, Azure OpenAI, Anthropic, or similar platforms.
Build AI agents, copilots, chatbots, and intelligent workflow automation.
Implement Retrieval Augmented Generation (RAG) and knowledge-grounded AI systems.
Software Engineering
Develop production-grade APIs, microservices, and integrations supporting AI capabilities.
Build scalable, secure, and resilient cloud-native solutions.
Apply modern software development practices including CI/CD, automated testing, and observability.
Optimize application performance, reliability, and cost efficiency.
Data & AI Engineering
Design and implement data pipelines for AI and machine learning workloads.
Fine-tune, evaluate, and monitor models where appropriate.
Build vector databases, embedding pipelines, and semantic search solutions.
Establish AI evaluation frameworks for quality, accuracy, safety, and business impact.
Governance & Security
Ensure responsible AI practices, compliance, privacy, and security standards.
Implement guardrails, content filtering, prompt management, and monitoring.
Collaborate with security, legal, and compliance partners to govern AI solutions.
Collaboration & Innovation
Partner with Product Managers, UX Designers, Data Scientists, and Engineering teams.
Drive AI adoption through best practices, reusable frameworks, and knowledge sharing.
Stay current on emerging AI technologies, frameworks, and industry trends.
Design, build, and maintain AI-powered applications and services.
Develop Generative AI solutions using OpenAI, Azure OpenAI, Anthropic, or similar platforms.
Build AI agents, copilots, chatbots, and intelligent workflow automation.
Implement Retrieval Augmented Generation (RAG) and knowledge-grounded AI systems.
Software Engineering
Develop production-grade APIs, microservices, and integrations supporting AI capabilities.
Build scalable, secure, and resilient cloud-native solutions.
Apply modern software development practices including CI/CD, automated testing, and observability.
Optimize application performance, reliability, and cost efficiency.
Data & AI Engineering
Design and implement data pipelines for AI and machine learning workloads.
Fine-tune, evaluate, and monitor models where appropriate.
Build vector databases, embedding pipelines, and semantic search solutions.
Establish AI evaluation frameworks for quality, accuracy, safety, and business impact.
Governance & Security
Ensure responsible AI practices, compliance, privacy, and security standards.
Implement guardrails, content filtering, prompt management, and monitoring.
Collaborate with security, legal, and compliance partners to govern AI solutions.
Collaboration & Innovation
Partner with Product Managers, UX Designers, Data Scientists, and Engineering teams.
Drive AI adoption through best practices, reusable frameworks, and knowledge sharing.
Stay current on emerging AI technologies, frameworks, and industry trends.