Role Summary:
The candidate should be able to serve as the lead technical contributor for designing and deploying enterprise-grade AI systems.
This role demands a senior AI engineer who can handle high-level architectural design and hands-on implementation of complex agentic workflows.
The candidate will be responsible for building the "AIObserve" ecosystem, ensuring that probabilistic AI outputs are translated into deterministic, secure, and high-value business outcomes.
Core Responsibilities
- Architecting Agentic Systems: Design and implement multi-agent systems using the Model Context Protocol (MCP) to enable seamless tool-calling across platforms like Atlassian and GitHub.
- Enterprise RAG Implementation: Lead the development of sophisticated Retrieval-Augmented Generation (RAG) layers, integrating vector databases like Milvus with enterprise knowledge bases (Jira/Confluence).
- Orchestration & Workflow Automation: Build and optimize backend services using FastAPI and Azure Bot Service to handle real-time message routing and automated ticket fulfillment.
- High-Privilege Automation: Develop secure browser automation scripts using Python and Playwright to handle complex tasks such as RBAC validation and post-true-up process automation.
- Security & RBAC Engineering: Engineer robust Role-Based Access Control (RBAC) within AI agents to ensure high-privilege operations are executed safely and within compliance.
- Performance Tuning: Optimize system latency to ensure AI responses and backend acknowledgments meet strict enterprise thresholds (<7 seconds).
- Architecting Observability Pipelines: Design and implement end-to-end telemetry for AI agents. This includes capturing not just system logs, but also LLM-specific traces (latency, token usage, and "hallucination" scores) to provide a 360-degree view of system health
- LLMOps Infrastructure: Own the deployment lifecycle, including CI/CD for prompt engineering, automated testing of RAG retrieval accuracy, and monitoring for "model drift" in production.
- Cross-functional Collaboration: Working with product managers, data scientists, and business stakeholders to translate needs into AI solutions.
Preferred Qualifications:
- BS/Advanced degree in quantitative fields: Computer Science, Data Science, Engineering, Business Analytics, Math/Statistics, or a related field
- 7+ years of experience in applied AI engineering or related role with 2+ years in agentic development, and/or with a combination of context/prompt engineering
- Expert-level Python proficiency with emphasis on modular, object-oriented code, strict typing, and rigorous unit/integration testing for production
- Experience with building both conversational agents and workflow agentic processes in production
- Applied experience with multiple LLM stacks/frameworks (e.g., OpenAI, Claude, Gemini, RAG pipelines), and agent orchestration systems (e.g., LangGraph, AutoGen, CrewAI, or LangChain building collaborative autonomous and complex AI workflows
- Demonstrated comfort with prompt design strategies (chain-of-thought, few-shot) and context window optimization to ensure high-quality LLM outputs
- Familiarity with cloud platforms (AWS/Azure), REST APIs, and containerization (Docker, K8s)
- Experience implementing and managing Vector Databases (e.g., Pinecone, Milvus, Weaviate) for RAG (Retrieval-Augmented Generation) pipelines.
- Experience with Azure bot services, Fast API, OAuth for API security is recommended.
- Proficiency in Databricks and SQL (DDL/DML) driving scalable data architecture and holistically integrating prompt designs, vector databases, and memory strategies to deliver advanced LLM solutions
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Equal Opportunity Employer
ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
