AI-Native Developer​/Engineer; Hybrid

Mode of Work:
Hybrid

Seeking an experienced AI-Native Developer / Engineer to build AI-first applications with Artificial Intelligence embedded into core architecture, workflows, and delivery life cycles from inception. The ideal candidate should possess strong expertise in Large Language Models (LLMs), agentic workflows, Retrieval-Augmented Generation (RAG), AI-powered software development, API integrations, and cloud-native deployments. This role requires hands‑on experience building autonomous or semi-autonomous AI agents, orchestrating planning loops, integrating LLMs into applications, implementing memory modules, developing production‑ready AI solutions, and accelerating delivery using AI‑assisted development tools and modern software engineering practices.

• Design, develop, test, and deploy AI-native applications with embedded Artificial Intelligence capabilities
• Build autonomous or semi-autonomous agentic systems and orchestrate planning workflows
• Develop and implement Large Language Model (LLM)-based solutions and agentic workflows
• Build Retrieval-Augmented Generation (RAG) systems using semantic search and vector databases
• Integrate OpenAI, Anthropic, and other LLM APIs using function calling, structured outputs, and workflow orchestration
• Utilize AI coding tools such as Cursor, Git Hub Copilot, and Claude Code for rapid prototyping and development acceleration
• Develop scalable backend and frontend components using Python, Type Script/JavaScript, React, Next.js, and Node.js
• Support production deployment of AI applications using AWS, GCP, Azure, Vercel, Docker, and Kubernetes
• Implement testing, debugging, API design, clean code practices, and version control standards
• Support AI governance, security, human‑in‑the‑loop workflows, and responsible AI implementation practices

• Collaborate with engineering, product, and business teams to accelerate AI adoption and delivery
• Support Proof of Concept (PoC) to production deployment lifecycle activities
• Optimize AI workflows, agent orchestration, and application performance
• Participate in AI experimentation, innovation, and continuous learning initiatives
  
  Maintain enterprise software engineering and AI development best practices

• Strong proficiency in Python and Type Script/JavaScript (React, Next.js, Node.js)
• Strong experience with Large Language Models (LLMs), agentic workflows, and AI-native application development
• Experience with Lang Chain, Lang Graph, Llama Index, or Semantic Kernel frameworks
• Experience building Retrieval-Augmented Generation (RAG) systems and semantic search workflows
• Familiarity with vector databases such as Pinecone, Chroma, Milvus, or Vertex AI Vector Search
• Hands‑on experience using AI development tools such as Cursor, Claude Code, and Git Hub Copilot
• Strong software engineering fundamentals including Git, testing, debugging, API design, and clean coding practices
• Experience with Docker, Kubernetes, cloud deployment platforms, and MLOps tools preferred
• Understanding of AI governance, security, and human‑in‑the‑loop mechanisms preferred
• Experience building custom GPTs, Claude Projects, or multi‑agent orchestration preferred

• Strong experience building AI-native or LLM-powered applications preferred
• Experience supporting agentic workflows and AI automation initiatives preferred
• Strong adaptability and ability to rapidly adopt emerging AI technologies preferred
• Strong product mindset and ability to quickly deliver scalable AI solutions preferred