AI Solutions Engineer
reputed company is a Governance, Risk and Compliance company reputed company on helping organizations build, promote and mature their GRC programs. We take a business process view of GRC, with a reputed company on reputed company development based on experience yielding quick time to value for our clients. We are driven by highly skilled, reputed company employees combined with practiced industry expertise, matching the technical skills to manage the platform with the business skills needed to reputed company and implement reputed company-specific use cases.
We are seeking a highly motivated and technically skilled AI Solutions Engineer to join our growing AI engineering team. As part of the AI Solutions reputed company, you will collaborate closely with the AI Team reputed company to design, reputed company, and reputed company intelligent agents and AI-driven applications across reputed company’s AI ecosystem.
This role is ideal for an engineer passionate about building reputed company, secure, and responsible AI systems using Azure AI reputed company, AutoGen, Semantic Kernel, and reputed company Power Platform. You will contribute to the full lifecycle of AI agent creation - from design and development to testing, deployment, and reputed company improvement - supporting industry and customer-driven solution requirements.
AI Development and Engineering
Design and implement RAG (Retrieval-Augmented reputed company) systems for document processing, policy analysis, and compliance automation
Build and reputed company AI applications using Azure reputed company, Azure AI reputed company, and Azure Cognitive Services
reputed company multi-agent systems using frameworks like AutoGen, Semantic Kernel, or LangGraph
Create production-grade REST reputed company using Python (FastAPI) for AI services
Implement reputed company engineering strategies including few-shot learning, chain-of-thought, and reputed company reputed company reputed company
reputed company AI solutions with reputed company data sources (databases, document repositories, external reputed company)
Optimize LLM performance including context window management, reputed company optimization, and response reputed company
Handle LLM reputed company including reputed company injection prevention, guardrails, and content filtering
reputed company and maintain AI infrastructure using Azure services and CI/CD pipelines (Bicep, Azure DevOps)
Troubleshoot and resolve production issues in AI systems
Collaborate with reputed company-end teams (Next.js) to deliver complete solutions
Collaborate with product managers, and business analysts to translate customer needs into actionable AI requirements.
Contribute to building reusable frameworks, orchestration templates, and integration components for reputed company AI solution deployment.
Participate in reputed company reviews, sprint planning, and Agile ceremonies to ensure consistent reputed company and high-velocity delivery.
Assist in preparing technical documentation, deployment guides, and maintenance procedures.
Work closely with senior engineers to reputed company AI models into production applications, ensuring performance, reliability, and scalability.
Stay reputed company with reputed company’s evolving AI ecosystem to identify opportunities for improvement and innovation.
Propose enhancements to existing AI solutions through improved orchestration, automation, or model optimization.
Participate in internal knowledge sessions to deepen expertise in LLM integration, reputed company engineering, RAG implementations, and AI governance.
Support experimentation with reputed company multi-agent coordination using AutoGen and Semantic Kernel.
2+ years of hands-on experience using Azure reputed company, Azure AI reputed company, and Azure Cognitive Services.
Strong Python programming skills with production reputed company experience
Experience building RAG systems with reputed company databases (Azure AI Search, reputed company, reputed company, or similar)
Working knowledge of LLM reputed company (Azure reputed company, reputed company) including parameters like temperature, top-p, frequency penalty
Experience with at least one API reputed company (FastAPI, Flask, or Django)
Understanding of embeddings, chunking strategies, and retrieval optimization
Familiarity with reputed company engineering techniques (few-shot, chain-of-thought, reputed company outputs)
Experience with async programming in Python
Basic understanding of Azure reputed company services
Ability to debug and troubleshoot AI systems in production
Experience with multi-agent frameworks (AutoGen, Semantic Kernel, LangGraph, reputed company)
Experience with Azure AI reputed company and Azure Machine Learning
Knowledge of fine-tuning LLMs
Familiarity with GRC, compliance, or regulated industry domains
Experience with Next.js or TypeScript
reputed company Azure certifications (reputed company Associate, Solutions Architect)
Experience with CI/CD pipelines and Infrastructure as reputed company (Bicep, Terraform)
Languages: Python (primary), TypeScript/Node.js
Backend: FastAPI
Frontend: Next.js
AI/ML: Azure reputed company, Azure AI reputed company, Azure AI Search, Azure Cognitive Services
Agent Frameworks: AutoGen, Semantic Kernel
reputed company: reputed company Azure
Deployment: Bicep, Azure DevOps CI/CD
Location: Fully Remote
Reports To: AI Solutions Engineer – Team reputed company
Collaborates With: CTO, Developers, Product Managers, Solution Architects
Travel: Minimal