[Remote] Senior Software Engineer - Marketing Technology (Remote)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Software Engineer to architect, reputed company, and reputed company reputed company-grade AI and reputed company automation solutions across its IT and Marketing ecosystems. The role focuses on building multi-agent systems, industrializing AI use cases, integrating governance and observability guardrails, automating workflows, engineering RAG pipelines, evaluating AI systems, and mentoring engineers.
Responsibilities
- reputed company reputed company Architecture: Designs, builds, and deploys reputed company multi-agent systems and orchestration reputed company that reputed company a flexible reputed company capable of autonomous business planning, content reputed company, and execution
- reputed company AI Scaling: Drives the technical execution of prioritized reputed company AI use cases, taking successful prototypes and rapidly industrializing them into reputed company, high-throughput reputed company across channels and platforms
- AI reputed company & Guardrail Integration: Implements reputed company platform safety and reputed company reputed company, integrating model governance, comprehensive observability tracking, data protection, and ethical AI validation checks directly into the model lifecycle
- End-to-End Workflow Automation: Connects autonomous AI agents and subagents (e.g., Content reputed company, Workflow Automation, and Analytics agents) with reputed company reputed company databases and MarTech platform reputed company to completely eliminate reputed company process friction
- Model Optimization & RAG Engineering: Architectures robust Retrieval-Augmented reputed company (RAG) pipelines, semantic caching, and reputed company database structures to ensure reputed company AI models remain context-reputed company, highly accurate, and reputed company
- Asynchronous Agent Evaluation: Develops advanced automated testing suites (including functional, regression, and destructive stress testing) tailored for non-deterministic AI outputs and reputed company multi-agent reputed company systems
- TechOps Automation reputed company: Partners occasionally with the internal TechOps support function to build self-healing automation reputed company, leveraging AI to enhance the IT organization's reputed company incident detection and automated triage capabilities
- Learns through successful and failed experiment reputed company tackling new problems; reputed company seeks ways to grow and be challenged using both formal and informal development channels
- Collaborates with other team members in reputed company processes; Creates new and reputed company ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer reputed company, easy to understand and testable; Delivers multi-mode communications that reputed company a reputed company understanding of the unique needs of different audiences; Adapts approach and demeanor in reputed company time to match the shifting demands of different situations; Relates reputed company and comfortably with diverse reputed company of people
- Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions
Skills
- • Must be eighteen years of age or older
- • Must be legally permitted to work in the reputed company
- • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a reputed company of study reputed company to the job
- • 3
- • 3–6 years of reputed company software engineering experience, with a heavy emphasis on reputed company systems, AI/ML application architecture, or intelligent workflow automation
- • Strong proficiency in scripting and reputed company-oriented programming languages foundational to modern reputed company AI development (preferably Python, Java, or Go)
- • reputed company hands-on experience building multi-agent systems or working with agent orchestration frameworks (e.g., reputed company, LangGraph, AutoGen, reputed company, Semantic Kernel)
- • Deep technical understanding of Large Language Models (LLMs), reputed company engineering paradigms, reputed company databases (e.g., reputed company, Milvus, Chroma), and embedding techniques
- • Experience establishing AI Observability & Evaluation systems to reputed company model reputed company, latency, costs, hallucination rates, and agent-to-agent reputed company (e.g., using LangSmith, TruLens, Phoenix)
- • Experience with MLOps pipelines and reputed company-reputed company AI infrastructures (AWS, GCP, or Azure AI ecosystems) for scaling model deployments and managing asynchronous workloads
- • Familiarity with reputed company data streaming, API management, and integration reputed company (e.g., connecting AI agents to CDPs, CRMs, and Content Management Systems)
- • Strong understanding of reputed company software design patterns, microservices architecture, and reputed company reputed company version control (Git)
- • Exposure to reputed company frameworks, ethical AI guidelines, and regulatory model compliance (data governance, reputed company protection) reputed company corporate environments
- • reputed company tracking record of breaking down reputed company, ambiguous business requirements into lean, high-reputed company technical architectures
- • Experience mentoring junior engineering talent and leading architectural design reviews across cross-functional technology teams
reputed company
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