Scope & Expectations • 100% hands-on engineering role (no people management) • Deliver production-quality code and deployments • Work within existing……
Strategic Mentorship: Develop the skills of junior engineering talent through structured mentorship. Deep Java Expertise: 5+ years of experience in Java……
Support database analysis, architecture, design, development, administration and capacity/storage, implementation, and operations of multi-terabytes scalable……
Bachelor's degree in computer science, software engineering, or a related field required. You will work closely with cross-functional teams, including product……
Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.…
Experienced in driving technical strategy and vision for a team. Mentor and provide technical guidance to other engineers on the team, fostering a culture of……
Gather and address technical and design requirements. Requires a minimum of 5 years of related experience software development, or a related field; or 3 years……
In this role, you will design and develop both new and existing product capabilities, working across a diverse set of technologies and architectures.…
Experience with object oriented and functional design patterns. Take full ownership of work outcomes including design, development, and testing; support and……
Experience with compiling and continuous integration tools like : Eclipse/IntelliJ, Visual Studio, Maven, Jenkins, Artifactory or other continuous integration/……
As a component owner for systems spanning multiple platforms, refactor critical code, design extensible solutions, translate abstract engineering goals into……
Analyze user needs and develop software solutions. Capital Technology Group provides expert consulting services software development, digital transformation,……
Contributing to technical design processes and provide improvement suggestions and feedback. BS in Computer Science, Mathematics, Software Engineering, Computer……
Craneware is looking for passionate Senior Software Engineers to design, develop and deliver high quality software solutions for TCG products which drive……
3 to 6+ years of backend or full-stack engineering experience, with a track record of shipping high-quality, scalable systems in fast-paced environments.…
This is a full-stack position where you’ll lead the implementation of event-driven architectures, AI-powered features, and advanced AWS services, while setting……
A bachelor’s degree in Computer Science or a related field is preferred (Master’s or higher is a plus). Excellent communication skills — able to clearly explain……
Experience in scalable architectures and high-throughput application design. NTENT utilizes advanced machine learning to decipher meaning and surface the most……
You’ll own features end-to-end—from user experience and data modeling to API design and deployment—while helping establish high engineering standards in a HIPAA……
This is done while collaborating with other software/hardware engineers, stakeholders, and end users to ensure a. No C2C - No 3rd party recruiters.…
Provide high-quality code and design review feedback to other engineers; define, evangelize, and lead the adoption of standards and best practices within the……
You’ll collaborate with cross-functional teams to design, build, and maintain full-stack serverless software systems, including scalable backend services,……
Applicants must have a senior level combination of education and experience demonstrated with one of the following combinations: A bachelor’s degree in computer……
Applicants must have a senior level combination of education and experience demonstrated with one of the following combinations: A bachelor’s degree in computer……
Demonstrated affinity for and experience with agentic software engineering — either on the job or on your own time. Generous paid time off policies.…
Bachelor’s or Master’s degree in Computer Science or a related quantitative field. Share knowledge across the team, mentor more junior engineers and contribute……
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Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions. Responsibilities AI Agent Engineering • Design and implement AI agents, including: Retrieval (RAG) Orchestration workflows Tool/function invocation Policy-based routing • Build evaluation frameworks for accuracy, latency, and reliability • Implement observability and monitoring for agent lifecycle. AI Platform Integration • Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models) • Build abstraction layers to support multi-model and multi-provider architectures • Optimize model usage for performance, cost, and latency Cloud-Native Development • Develop scalable services using: Microservices architecture Containers (Docker, Kubernetes) Serverless and event-driven patterns • Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm) • Ensure production readiness, logging, monitoring, and fault tolerance Application Development • Build and deploy AI-powered applications aligned to business workflows • Integrate AI systems into existing enterprise platforms and APIs • Develop backend services and APIs supporting agent workflows Testing & Performance • Define and execute test strategies for AI systems • Measure system performance (latency, throughput, accuracy, cost) • Debug and optimize production systems. Required Skills & Experience • 8–10+ years of software engineering experience • Strong experience with cloud-native systems (APIs, microservices, containers, serverless) • Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) • Proficiency in Python, Java, or similar backend languages • Experience with: CI/CD pipelines Infrastructure as code Monitoring and observability tools • Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar) • Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI) • Experience designing multi-agent or distributed AI systems • Familiarity with enterprise-scale system integration • Experience optimizing AI workloads for cost and performance. • Scope & Expectations • 100% hands-on engineering role (no people management) • Deliver production-quality code and deployments • Work within existing architecture and engineering standards • Collaborate with client and internal engineering teams as needed • Participate in technical design discussions (implementation-focused)