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# Software Engineer

- **Company:** Fitch Inc
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $283,541.0 - $300,370.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Computer Programming, Machine Learning, Tensorflow, Search Technologies, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Software Applications, Chatbots, Pytorch, Large Language Models, Generative AI, Backend, Fastapi, Containerization, Kubernetes, Machine Learning Operations, AWS EKS, Docker
- **Published:** September 12, 2026
- **Apply:** https://www.jofdav.com/jobs/59668789-software-engineer

## About the Role

* 7+ years of professional experiencedesigning, developing, and deploying production-grade AI/ML systems, with a proven track record of delivering sophisticated generative AI and machine learning solutions at scale.
 * 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 in developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration in real-time enterprise environments.
 * Hands-on enterprise experience developing GenAI applicationsusing LangChain and LangGraph frameworks with expertise in agent architecture design, state management, memory systems, and graph-based workflow orchestration.
 * Strong technical expertise in embeddings, vector databases for AI integration, and LLM integration/fine-tuningacross platforms such as OpenAI, LLaMA; solid understanding of ML algorithms with production experience using frameworks and tools including FastAPI, PyTorch/TensorFlow, and MLflow.
 * Extensive experience building and integrating generative AI solutionsinto production environments, including working with large language models, designing multi agentic systems and embedding AI capabilities into existing product ecosystems.
 * Strong foundation in MLOps practices, containerization technologies (Docker, Kubernetes/AWS EKS), cloud infrastructure (AWS/Azure), AI-specific services (AWS Bedrock, SageMaker, Azure AI Search), and orchestration tools.
 * Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders and work effectively across cross-functional teams.



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