Sr Software AI Engineer - Context Engineering at Jobgether – United States
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About This Position
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Software AI Engineer - Context Engineering in the United States.
This role sits at the cutting edge of AI infrastructure and distributed systems, focused on building the contextual foundation that powers next-generation agentic AI platforms. You will design and develop high-performance, cloud-native systems that enable real-time context retrieval, multi-agent orchestration, and intelligent workflow execution. Working at the intersection of platform engineering and applied AI, you will help shape how autonomous systems access, interpret, and act on data at scale. The role emphasizes building robust “platform-as-a-product” capabilities, enabling other engineers to develop and deploy AI agents efficiently. You will contribute to advancing emerging paradigms such as agentic RAG, contextual reasoning, and AI-native infrastructure patterns. This is a highly technical and innovative environment where deep systems expertise meets rapidly evolving AI technologies.
- Contribute to the design and development of a scalable AI-ready data lakehouse optimized for low-latency context retrieval and agent operations.
- Build and prototype emerging agentic architectures, including multi-agent orchestration and long-term memory systems.
- Develop platform-level services, SDKs, and APIs enabling seamless creation and execution of autonomous AI workflows.
- Implement contextual systems that go beyond traditional search, enabling reasoning-based retrieval and intent-aware data access.
- Integrate emerging interoperability standards such as the Model Context Protocol (MCP) and Agentic RAG frameworks.
- Maintain engineering excellence through code quality, CI/CD best practices, and cross-functional architecture collaboration.
- Support observability and performance monitoring across AI systems using modern telemetry and metrics frameworks.
Requirements:
- 6+ years of software engineering experience with strong focus on distributed systems and cloud-native architectures.
- Proficiency in Java or Scala, along with strong Python development skills.
- Experience building scalable APIs, SDKs, or developer-facing platforms.
- Strong understanding of software-defined infrastructure and platform engineering principles.
- Hands-on experience with agentic frameworks such as LangGraph, CrewAI, or similar tools.
- Knowledge of Agentic RAG, LLM-based workflows, and AI-native CI/CD practices.
- Familiarity with GitOps tools (ArgoCD, Flux), Infrastructure-as-Code (Terraform), and modern CI/CD pipelines (GitHub Actions).
- Experience with cloud platforms such as AWS and Azure, including core services like IAM, compute, and storage.
- Understanding of observability tooling such as OpenTelemetry and AI system performance monitoring.
- Strong communication skills with the ability to explain complex technical concepts and trade-offs.
Benefits:
- Competitive base salary ranging from $140,200 to $185,800 USD, based on experience and qualifications.
- Comprehensive health, dental, and vision insurance coverage.
- Retirement savings plan with company support.
- Paid time off and flexible work arrangements supporting work-life balance.
- Health Savings Account (HSA) and Flexible Spending Accounts (FSA).
- Life, disability, and additional insurance options.
- Tuition reimbursement and ongoing learning and development opportunities.
- Bonus eligibility depending on role structure and performance.
- Access to a modern, innovation-driven engineering environment focused on AI and platform scalability.