Software Engineer

Kforce's client in Pittsburgh, PA is looking for a Software Engineer to join its Strategic Solutions Team, responsible for developing and supporting technology platforms for high-impact client engagements. This position combines software engineering, cloud technologies, AI, automation, and data solutions to deliver scalable applications that solve complex business problems. Responsibilities:

• Develop and maintain backend applications and APIs using Python frameworks such as FastAPI, Django, and Flask
• Build modern web applications, dashboards, and client-facing tools with React and TypeScript
• Create and enhance AI-powered capabilities, including LLM integrations, prompt engineering, agent workflows, embeddings, RAG solutions, model evaluation, and performance optimization
• Design and support ETL processes, data integrations, webhooks, event-driven architectures, message queues, and connections to external platforms such as CRM, ERP, telephony, and messaging systems
• Work with relational and vector databases, including PostgreSQL, Redis, pgvector, and similar technologies, focusing on schema design, indexing, and query optimization
• Deploy and manage cloud-native solutions within AWS using Docker, ECS/EKS, Lambda, S3, RDS, and infrastructure-as-code tools such as Terraform or CDK
• Implement CI/CD pipelines, automated testing, staged deployments, and rollback strategies to ensure reliable releases
• Monitor application performance through logging, metrics, tracing, alerting, and production troubleshooting
• Own and improve reusable platform components utilized across multiple client solutions
• Convert prototypes and proof-of-concepts into secure, scalable, production-ready applications
• 3+ years of experience designing, developing, and supporting production software, preferably within agile, fast-paced teams
• Strong proficiency in Python, including asynchronous programming, type hinting, testing frameworks (PyTest), package management, and application performance tuning
• Experience building frontend applications with React and modern JavaScript/TypeScript, including API integration and state management
• Solid understanding of SQL, database design, data modeling, caching strategies, and background processing
• Hands-on experience deploying, monitoring, securing, and maintaining applications in AWS and containerized environments
• Exposure to AI/ML solutions, including LLM integrations, automation tools, vector databases, APIs, and machine learning frameworks
• Proficient with Git-based workflows, peer code reviews, and CI/CD best practices
• Self-starter mentality with the ability to take ownership of projects from requirements through deployment with minimal oversight
• Strong written communication skills and the ability to collaborate effectively across distributed teams and time zones
• Comfortable working in a rapidly evolving environment where priorities can shift and autonomy is expected

• Multi-tenant applications and scalable product architecture
• Infrastructure-as-Code and cloud-native technologies such as Terraform, Kubernetes, or serverless platforms
• Data engineering experience, including data warehouses, dbt, streaming pipelines, or large-scale data processing
• LLM observability, model evaluation, and AI agent frameworks
• Customer experience, contact center, sales, or related business technology platforms