Job Description: AI Developer (React, Python & Generative AI)

Job Overview:

We are seeking a highly analytical and technically proficient AI developer with extensive expertise in React.js, Python, and generative AI technologies.
The ideal candidate should demonstrate exceptional coding skills, strong logical reasoning, and the ability to design scalable, production-ready AI systems.
This role demands hands-on development experience, robust analytical thinking, and the ability to translate complex business requirements into efficient AI-driven solutions.

Responsibilities & Core Technical Abilities:

Design, develop, and maintain end-to-end AI systems, encompassing model training, evaluation, deployment, monitoring, and continuous improvement.
Build production-grade applications using modern programming languages and tools, including TypeScript, JavaScript, Python, Node.js, Vite, React, and contemporary front-end build systems.
Develop scalable backend APIs and microservices capable of handling high-volume AI inference workloads using python and any other high level programming languages .
Architect and maintain Kubernetes clusters, ensuring resilient deployments, autoscaling, health checks, secrets management, and resource optimization.
Create and manage Helm charts for packaging, versioning, deploying, and continuously updating complex AI services across multiple environments.
Implement full MLOps pipelines, including data ingestion, feature engineering, model training, model validation, CI/CD workflows, and automated model deployment.
Integrate vector databases, embeddings pipelines, RAG architectures, and other retrieval-augmented systems to enhance AI reasoning capabilities.
Manage storage systems (object storage, block storage, distributed file systems) optimized for AI workloads, large model artifacts, and high-speed data access.
Build robust AI plugins, extensions, and integrations for third-party platforms with advanced functionality, including context handling, multi-agent coordination, and tool-use orchestration.
Optimize LLM performance using techniques like quantization, fine-tuning, LORA adapters, distillation, caching, and model parallelism.
Ensure system security, data privacy, identity management, and safe model behavior across all AI components.
Collaborate cross-functionally with product, data, and engineering teams to translate business requirements into scalable AI solutions.
Monitor production AI systems, implement logging/observability stacks, and troubleshoot reliability or performance issues.
Continuously research and adopt emerging AI/ML trends, frameworks, and MLOps best practices to maintain systems at industry-leading standards.

Qualification and Skills

Core Technical Skills

Strong proficiency in Python with a deep understanding of data structures and algorithms.
Hands-on experience in React.js, including hooks, state management, component architecture, and advanced knowledge of generative AI and LLM concepts.
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.
Experience with relational or NoSQL databases and version control using Git.
Analytical & Coding Strength (Mandatory)
Strong analytical thinking and structured problem-solving ability.
Ability to write optimized, scalable, and efficient code.
Strong debugging and root cause analysis skills.
Ability to analyze large code bases and improve performance.
Experience implementing algorithmic logic and performance tuning.
Practice of clean code and adherence to coding standards.

Experience

3+ years of hands-on experience delivering AI-driven applications.
Proven track record of writing production-grade code.

Soft Skills

Strong logical reasoning and critical thinking.
Excellent communication skills.
Ability to work independently and take ownership.
High attention to details and quality.

Nice to Have

Experience building AI workflows and autonomous bots.
Knowledge of model fine-tuning basics.
Experience with Docker and Kubernetes.
Understanding of AI evaluation metrics and benchmarking.

Job Type: Full-time

Work Location: In person

Cyber Core for Information Technology

New Jobs

AI Developer- (Resident Engineer – Onsite Client)