Senior Staff Engineer (AI Full-stack Developer)

Requirements

• Experience : 7.5 years
• Relevant experience in software development AI/ML engineering or applied AI with hands-on experience building production-grade AI applications.
• Strong expertise in React for developing modern responsive and interactive web applications.
• Proficiency in Java and/or Python with hands-on experience building backend services REST APIs and AI-driven applications.
• Experience working with LLM platforms such as OpenAI Anthropic Azure OpenAI or similar foundation models.
• Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines including embeddings vector databases chunking strategies retrieval optimization and grounding techniques.
• Experience with LLM orchestration frameworks such as LangChain LlamaIndex LangGraph Haystack or equivalent.
• Strong knowledge of prompt engineering structured outputs function calling tool integration and agentic AI workflows.
• Experience developing AI services using FastAPI Flask or similar backend frameworks.
• Knowledge of HTML CSS JavaScript asynchronous programming testing frameworks and API development.
• Experience with LLM evaluation frameworks such as RAGAS DeepEval Promptfoo LangSmith or equivalent.
• Familiarity with Git CI/CD pipelines Docker Linux and software deployment practices.
• Working knowledge of at least one cloud platform such as Azure AWS or GCP.
• Basic understanding of infrastructure security concepts including vulnerabilities IAM logging access controls and cloud security best practices.
• Understanding of responsible AI principles including prompt injection prevention data privacy hallucination mitigation output validation and content filtering.
• Familiarity with SIEM platforms security monitoring tools Infrastructure as Code (Terraform or Bicep) and vulnerability management concepts is an advantage.
• Strong analytical troubleshooting communication and problem-solving skills with the ability to work collaboratively in cross-functional teams.
• Relevant cloud AI or security certifications are an added advantage.

Responsibilities

• Design develop and deploy AI-powered applications and intelligent assistants using Large Language Models (LLMs) to automate security and enterprise workflows.
• Build scalable React-based user interfaces and dashboards for AI-driven applications and enterprise automation solutions.
• Develop backend services REST APIs and orchestration layers using Java and/or Python to support AI capabilities.
• Design and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines including document ingestion embeddings vector storage retrieval optimization and contextual response generation.
• Integrate enterprise AI solutions with LLM providers such as OpenAI Anthropic Azure OpenAI and other commercial or open-source models.
• Develop prompt templates system prompts structured outputs and agentic workflows to improve AI accuracy and user experience.
• Build AI microservices and APIs that integrate with enterprise applications security tools monitoring platforms ticketing systems and operational workflows.
• Implement evaluation frameworks regression testing and performance monitoring to continuously improve model quality latency reliability and operational efficiency.
• Apply responsible AI practices by implementing security controls prompt injection protection PII masking access controls audit logging and output validation.
• Automate AI operational tasks including data preparation embedding refresh model evaluation health monitoring and deployment processes.
• Collaborate with engineering DevOps infrastructure security and business teams to design and deliver scalable AI-powered solutions.
• Participate in code reviews testing debugging documentation and production support activities to ensure high-quality software delivery.
• Continuously evaluate emerging AI technologies frameworks and best practices to enhance enterprise AI capabilities and accelerate innovation.
• Ensure AI applications are scalable secure maintainable and aligned with enterprise architecture governance and compliance standards.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time