Senior Agentic AI Programmer GenAI, AWS & Azure

Job Overview

Job Description

We are seeking an experienced Senior Agentic AI Programmer with strong expertise in Agentic AI systems, Generative
AI, and cloud platforms (AWS & Azure).
The ideal candidate will design, develop, and deploy intelligent AI agents capable of autonomous decision-making,
orchestration, reasoning, and task execution using modern LLMs and cloud-native services.
This role requires deep technical expertise in AI frameworks, cloud deployment, and scalable architecture design.
Responsibilities:
Design and develop Agentic AI systems using frameworks such as LangChain, AutoGen, CrewAI, or similar
Build and deploy Generative AI applications leveraging LLMs (OpenAI, Anthropic, Azure OpenAI, etc.)
Architect multi-agent workflows for reasoning, planning, tool usage, and autonomous task execution
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools
Deploy, monitor, and scale AI solutions on AWS and Azure cloud platforms
Implement prompt engineering, memory management, RAG (Retrieval-Augmented Generation), and vector
databases
Ensure security, performance, and reliability of AI systems
Mentor junior engineers and contribute to architectural decisions
Collaborate with product managers, data scientists, and DevOps teams
Requirements:
Essential: 3+ years of software development experience with strong AI/ML background
Mandatory hands-on experience in Agentic AI systems
Strong expertise in Generative AI and Large Language Models (LLMs)
Proficiency in Python (mandatory); Node.js or Java is a plus
Experience with Agent AI frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel
Strong hands-on experience with AWS and Azure services including:
AWS: Lambda, EC2, S3, Bedrock, SageMaker, API Gateway
Azure: Azure OpenAI, Azure Functions, Cognitive Services
Experience with Vector Databases such as Pinecone, FAISS, Weaviate, or ChromaDB
Strong knowledge of RAG pipelines, embeddings, and fine-tuning concepts
Familiarity with Docker, Kubernetes, and CI/CD pipelines
Strong system design and problem-solving skills
Additional Information:
Strong ownership mindset and architectural thinking
Ability to design scalable, secure, and production-ready AI systems
Excellent collaboration and communication skills
The details contained in this job description reflect the requirements of the role at the date it was prepared. The nature of
the role may evolve over time, and the organization reserves the right to revise this job description as required.
Ability to work in a fast-paced AI innovation environment
Continuous learning mindset to stay updated with evolving AI technologies