Qureos Mentor

Cyber Core for Information Technology

Job Description: AI Developer (React, Python &amp; Generative AI)Job Overview:<ul><li>We are seeking a highly analytical and technically proficient AI developer with extensive expertise in React.js, Python, and generative AI technologies.</li><li>The ideal candidate should demonstrate exceptional coding skills, strong logical reasoning, and the ability to design scalable, production-ready AI systems.</li><li>This role demands hands-on development experience, robust analytical thinking, and the ability to translate complex business requirements into efficient AI-driven solutions.</li></ul>Responsibilities &amp; Core Technical Abilities:<ul><li>Design, develop, and maintain end-to-end AI systems, encompassing model training, evaluation, deployment, monitoring, and continuous improvement.</li><li>Build production-grade applications using modern programming languages and tools, including TypeScript, JavaScript, Python, Node.js, Vite, React, and contemporary front-end build systems.</li><li>Develop scalable backend APIs and microservices capable of handling high-volume AI inference workloads using python and any other high level programming languages .</li><li>Architect and maintain Kubernetes clusters, ensuring resilient deployments, autoscaling, health checks, secrets management, and resource optimization.</li><li>Create and manage Helm charts for packaging, versioning, deploying, and continuously updating complex AI services across multiple environments.</li><li>Implement full MLOps pipelines, including data ingestion, feature engineering, model training, model validation, CI/CD workflows, and automated model deployment.</li><li>Integrate vector databases, embeddings pipelines, RAG architectures, and other retrieval-augmented systems to enhance AI reasoning capabilities.</li><li>Manage storage systems (object storage, block storage, distributed file systems) optimized for AI workloads, large model artifacts, and high-speed data access.</li><li>Build robust AI plugins, extensions, and integrations for third-party platforms with advanced functionality, including context handling, multi-agent coordination, and tool-use orchestration.</li><li>Optimize LLM performance using techniques like quantization, fine-tuning, LORA adapters, distillation, caching, and model parallelism.</li><li>Ensure system security, data privacy, identity management, and safe model behavior across all AI components.</li><li>Collaborate cross-functionally with product, data, and engineering teams to translate business requirements into scalable AI solutions.</li><li>Monitor production AI systems, implement logging/observability stacks, and troubleshoot reliability or performance issues.</li><li>Continuously research and adopt emerging AI/ML trends, frameworks, and MLOps best practices to maintain systems at industry-leading standards.</li></ul>Qualification and SkillsCore Technical Skills<ul><li>Strong proficiency in Python with a deep understanding of data structures and algorithms.</li><li>Hands-on experience in React.js, including hooks, state management, component architecture, and advanced knowledge of generative AI and LLM concepts.</li><li>Experience with OpenAI APIs or open-source LLMs, Langchain/llamaindex/agentic workflows, prompt engineering, Rag architecture, vector databases (FAISS, Pinecone, etc.), and strong understanding of REST API design and backend architecture.</li><li>Experience with relational or NoSQL databases and version control using Git.</li><li>Analytical &amp; Coding Strength (Mandatory)</li><li>Strong analytical thinking and structured problem-solving ability.</li><li>Ability to write optimized, scalable, and efficient code.</li><li>Strong debugging and root cause analysis skills.</li><li>Ability to analyze large code bases and improve performance.</li><li>Experience implementing algorithmic logic and performance tuning.</li><li>Practice of clean code and adherence to coding standards.</li></ul>Experience<ul><li>3+ years of hands-on experience delivering AI-driven applications.</li><li>Proven track record of writing production-grade code.</li></ul>Soft Skills<ul><li>Strong logical reasoning and critical thinking.</li><li>Excellent communication skills.</li><li>Ability to work independently and take ownership.</li><li>High attention to details and quality.</li></ul>Nice to Have<ul><li>Experience building AI workflows and autonomous bots.</li><li>Knowledge of model fine-tuning basics.</li><li>Experience with Docker and Kubernetes.</li><li>Understanding of AI evaluation metrics and benchmarking.</li></ul>Job Type: Full-timeWork Location: In person

AI Developer- (Resident Engineer – Onsite Client)

Join Cyber Core for Information Technology and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Cyber Core for Information Technology

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AI Developer- (Resident Engineer – Onsite Client)