Software Development Senior Specialist

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.

• Experience with Git, CI/CD, Docker, Kubernetes.

Cloud & AI Expertise

• Experience deploying AI systems in production environments.

• Familiarity with AI governance, model evaluation, and monitoring.

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