Senior AI Engineer

We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle.

This role offers the opportunity to work on enterprise-scale AI integration initiatives, establish best practices, and advance the technical maturity of our engineering organization.

Responsibilities

AI Engineering & Implementation

• Design and build MCP (Model Context Protocol) servers and tools for seamless AI integration
• Design and implement AI-driven automation solutions, including LLM-powered automation, prompt engineering, and conversational AI
• Develop ML model integration solutions and AI orchestration workflows with monitoring and evaluation
• Integrate UiPath with enterprise AI platforms and APIs
• Support implementation of agentic automation and advanced AI use cases

AI/ML Expertise & Governance

• Integrate LLM APIs and apply prompt engineering techniques
• Design and maintain AI workflow orchestration systems
• Implement Intelligent Document Processing and NLP solutions
• Develop model evaluation, tuning, and governance frameworks
• Design and manage vector databases and RAG (Retrieval-Augmented Generation) systems
• Support responsible AI practices and governance model development

AI-Driven Software Development Lifecycle (SDLC)

• Contribute to AI/ML solutions that enhance code generation, testing, deployment, and monitoring
• Integrate AI technologies into existing SDLC workflows and development tooling
• Support development and implementation of governance models for AI and responsible AI practices

Technical Contributions & Collaboration

• Participate in technology evaluation and assessment for organizational adoption
• Collaborate with enterprise architecture, security, and compliance teams on AI initiatives
• Contribute to technical training and knowledge-sharing initiatives
• Support code reviews, design discussions, and mentoring of junior team members

Requirements

• 4–6 years of experience building and operating production software systems at scale
• 1–2 years of hands-on experience with LLMs and generative AI in production environments or serious prototyping
• Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines
• Strong expertise in API architecture (REST/SOAP)
• Solid working knowledge of agentic AI patterns: tool use, agent orchestration, ReAct, multi-step reasoning, memory and context management
• Proven proficiency in LLM API integration and prompt engineering
• Cloud platform experience (AWS, Azure, or GCP), including containers (Docker/Kubernetes) and CI/CD pipelines
• Experience building or contributing to RAG systems (vector databases, embeddings, retrieval strategies)
• Demonstrated experience designing and building MCP servers and tools with familiarity of agent-tool integration frameworks
• Strong collaboration and communication skills; comfortable with code reviews, design discussions, and pair programming
• Ability to explain technical decisions clearly to both technical peers and business stakeholders
• Understanding of security, data governance, and responsible AI practices

Benefits

• Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, commissions, and stock options where applicable
• Development-focused leadership committed to your growth through coaching and career opportunities
• Opportunity to make a meaningful, lasting impact on enterprise AI adoption
• Dynamic, collaborative, and high-performing team environment
• World-class training programs in financial services and emerging technologies