Design, build, and deploy scalable GenAI applications leveraging LLMs, RAG architectures, and foundation models
Develop and optimize advanced retrieval and context engineering strategies using internal knowledge bases and structured/unstructured data
Design and orchestrate multi-step AI agents capable of reasoning, retrieval, and action execution across business workflows
Contribute to enterprise GenAI architecture, ensuring modularity, reusability, scalability, and observability
Build reusable GenAI components and services (agent frameworks, chat interfaces, orchestration layers, evaluation pipelines)
Integrate AI systems with enterprise platforms (CRM, document management, APIs) using secure authentication and governance standards
Embed Responsible AI principles including privacy, compliance, auditability, explainability, and risk management
Continuously evaluate emerging models and tools, benchmark performance, and optimize cost, latency, and system efficiency

Requirements

Accredited Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
3+ years of relevant experience in software engineering, or AI development
Proven experience developing Generative AI applications, including content generation, conversational AI, and natural language understanding tasks
Strong proficiency in programming languages such as Python, Java or C++
Experience with: REST APIs, LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.), RAG architectures (vector databases such as Pinecone, FAISS, Weaviate, etc.), LangChain, LlamaIndex, or similar orchestration frameworks, Cloud platforms (Azure, AWS, or GCP)
Solid understanding of software engineering best practices (CI/CD, version control, testing, documentation)
Knowledge of AI risk, security, and data privacy principles
Familiarity with AI deployment techniques, including Docker and Kubernetes for scalable production environments
Strong problem-solving ability to design, develop, and optimize AI applications to meet specific business needs
Ability to collaborate with cross-functional teams to drive successful deployment and integration of AI solutions.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Generative AINatural Language UnderstandingPythonJavaC++REST APIsLLM APIsRAG architecturesDockerKubernetes

Soft Skills

problem-solvingcollaboration

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Artificial IntelligenceBachelor's degree in Data Science