Senior Gen AI Software Engineer

Fitch Solutions is seeking a Senior Gen AI Software Engineer to help build enterprise-grade generative AI systems and scalable AI infrastructure within a global financial information services organization focused on high-impact AI initiatives.

Responsibilities

• Lead development of enterprise generative AI solutions
• Build enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI applications, and MCP implementations
• Design and implement GenAI/ML architectures and assess emerging AI technologies
• Develop rapid proofs of concept and bridge research to production-ready capabilities
• Build enterprise-scale FastAPI APIs for deployment
• Architect and implement cloud-based AI infrastructure on AWS and Azure
• Ensure systems are optimized for performance, reliability, and scalability
• Apply full-stack engineering skills to build enterprise-grade websites and applications
• Integrate AI capabilities into user-facing products and backend systems
• Participate in the full software development lifecycle for AI initiatives
• Contribute technical insights to design discussions and apply engineering best practices
• Partner with product managers, engineers, and business stakeholders to translate complex technical concepts and gather requirements
• Ensure AI solutions address user needs and strategic objectives
• Create production-ready generative AI platforms and intelligent automation
• Work on multi-agent systems and frontier AI challenges
• Architect RAG implementations and develop Model Context Protocol (MCP) servers for Fitch Solutions
• Build GenAI solutions across multiple business units
• Create unified patterns, reusable components, and standardization frameworks for enterprise AI scale
• Work at the intersection of engineering and product development
• Leverage GenAI agentic workflows and production-scale deployment

Requirements

• 7+ years of professional experience designing, developing, and deploying production-grade AI/ML systems
• 5+ years in full stack software engineering building and deploying real-world enterprise applications
• Advanced Python programming skills with strong backend development capabilities
• Proven experience building intelligent conversational AI systems in real-time enterprise environments
• Hands-on enterprise experience with GenAI applications using LangChain and LangGraph
• Strong technical expertise in embeddings, vector databases, and LLM integration/fine-tuning
• Solid understanding of ML algorithms with production experience using modern ML tools
• Extensive experience building and integrating generative AI solutions into production environments
• Strong foundation in MLOps practices, containerization, cloud infrastructure, and orchestration tools
• Excellent communication and collaboration skills across cross-functional teams

Skills

• LLM
• RAG
• Gen AI
• OpenAI
• LangChain
• Vector Database
• LangGraph
• MCP (Model Context Protocol)
• FastAPI
• Python
• AWS
• Azure
• PyTorch
• TensorFlow
• AI/ML systems
• Backend development
• Full stack software engineering
• AI-enabled search
• LLM integration
• Agent architecture design
• State management
• Memory systems
• Graph-based workflow orchestration
• Embeddings
• LLaMA
• MLflow
• Multi-agent systems
• Foundation models
• APIs
• Docker
• Kubernetes
• AWS EKS
• AWS Bedrock
• SageMaker
• Azure AI Search
• Orchestration tools
• Enterprise chatbot platforms
• Evaluation frameworks
• Applied GenAI applications

Benefits

• Hybrid work environment
• Dedicated trainings, leadership development, and mentorship programs
• Retirement planning and tuition reimbursement programs
• Comprehensive healthcare offerings
• Family-friendly parental leave plan
• Employee Resource Groups
• Paid volunteer days and matched funding for donations

Pay

$121,700–$142,200 per year. Compensation may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits.

Schedule

Full-time