Software Development Senior Analyst

Role Overview We are seeking a highly skilled Agentic AI Senior Lead / Developer to design, develop, and deploy advanced AI systems leveraging autonomous agents, LLMs, and cloud-native architectures. The ideal candidate will have strong expertise in Python , AWS , and Azure , and experience building scalable AI-driven solutions using modern AI frameworks and cloud services. This role combines hands-on development, architecture design, and technical leadership in delivering intelligent, autonomous, and multi-agent systems for enterprise use cases. Key Responsibilities 🔹 Agentic AI & LLM Development Design and implement agent-based AI systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar. Develop multi-agent orchestration systems with memory, planning, and tool usage capabilities. Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source models) into enterprise workflows. Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases. Build secure, production-grade prompt engineering frameworks. 🔹 Python Development Develop scalable backend services using Python (FastAPI, Flask, Django). Build AI microservices and APIs for enterprise integration. Implement async processing, workflow automation, and event-driven systems. Ensure high-quality code with unit tests, CI/CD integration, and best practices. 🔹 Cloud Architecture (AWS & Azure) Design and deploy AI solutions on AWS : SageMaker Bedrock Lambda ECS/EKS API Gateway DynamoDB / RDS Implement AI workloads on Azure : Azure OpenAI Azure ML Azure Functions Azure Kubernetes Service (AKS) Cognitive Services Build secure cloud architectures with IAM, VPC, networking, and encryption best practices. Implement infrastructure as code (Terraform, CloudFormation, Bicep). 🔹 DevOps & MLOps Set up CI/CD pipelines for AI applications. Manage containerization using Docker & Kubernetes. Implement model monitoring, logging, and performance optimization. Ensure governance, compliance, and responsible AI practices. 🔹 Leadership & Strategy Lead AI architecture discussions and solution design workshops. Mentor junior developers and AI engineers. Define AI adoption strategy and roadmap. Collaborate with cross-functional teams (Product, Cloud, Security, Data Engineering). Required Skills & Qualifications Technical Skills Strong expertise in Python (8+ years preferred). Hands-on experience with LLMs and agent frameworks . Deep understanding of: Prompt engineering RAG architecture Vector databases (Pinecone, FAISS, Weaviate, Azure AI Search) API integrations Experience with AWS and Azure cloud services . Strong knowledge of REST APIs, microservices, and event-driven architecture.

with Git, CI/CD, Docker, Kubernetes.

Cloud & AI Expertise Experience deploying AI systems in production environments .

Familiarity with AI governance, model evaluation, and monitoring.

integrating enterprise data sources (SharePoint, SAP, CRM, etc.).