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Job Description
Structured overview of role & requirementsAbout This Role
Collaborate with business and technology teams to develop and implement practical Generative AI applications including copilots, assistants, and AI agents.
Build and enhance AI-powered solutions using Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, and AI orchestration frameworks such as LangChain, LangGraph, and others.
Create proofs of concept, reusable components, APIs, test automation, and support transition of AI prototypes to production while adhering to enterprise AI governance and security standards.
Minimum Requirements
3 to 5 years of software engineering experience with hands-on application development.
1 to 3 years of practical experience developing Generative AI applications or intelligent automation solutions.
Proficiency in Python and experience building APIs, integrations, and enterprise applications.
Working knowledge and hands-on experience with LLMs, prompt engineering, embeddings, vector databases, RAG, and AI development frameworks such as LangChain, LangGraph, Claude Code SDK, or OpenAI SDK.
Ideal Candidate Profile
Experienced applied AI engineer comfortable with both prototype development and integrating AI capabilities into existing enterprise systems.
Strong background in software engineering combined with practical skills in AI solution development, orchestration workflows, and building scalable AI applications.
Able to effectively translate business requirements into functional AI software, collaborating cross-functionally with stakeholders and stability-focused on solution performance, safety, and governance.