I have an urgent opening for GenAl Engineer (Google ADK + Agentic AI) position. Kindly review the job description below and if interested, share your most recent resume in word format.
Job Description:
We are seeking a Lead Al Engineer to design, build, and scale Agentic and Generative Al solutions that deliver measurable business outcomes. This role is hands-on and includes leading moderately complex initiatives, contributing to large-scale technical strategy, and serving as a technical escalation point while mentoring engineers.
Skills: LLM Basics, RAG Pipeline, Transformers and Chatbots - Python programming, Langchain and Lang graph frameworks - MLOps, Measuring success criteria
Develop agents with Google ADK, leveraging its multi-agent architecture, flexible orchestration, tool ecosystem (including MCP tools), built-in evaluation, and deployment-ready patterns.
Lead or contribute to moderately complex initiatives and deliverables within Al/ML and software engineering domain environments, with accountability for high-quality outcomes.
Contribute to large-scale planning of strategies for generative Al capabilities, including platform patterns, engineering standards, and operational readiness.
Design, code, test, debug, and document Al-enabled services and applications, including upgrades and deployments across environments.
Design and develop Generative Al applications using large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks; integrate Al capabilities into existing enterprise products and systems.
Build production-grade agentic solution using LanChain and LangGraph combining rapid composition with explicit state-machine orchestration
Engineer secure tool execution patterns (service-to-service calls, least privilege, auditability) and align with enterprise approaches to agent-to-agent communication (A2A) and MCP-based tool integration where applicable.
Evaluate moderately complex technical challenges requiring in-depth assessment of Al technologies, orchestration approaches, model behavior, and enterprise integration patterns.
Troubleshoot and resolve complex technical issues across Al services and models; ensure monitoring and operational hygiene to improve efficiency and mitigate risk.
Lead, design, develop, test, and implement application components, tools, utilities, and analytics related to Al lifecycle needs (e.g., evaluation, quality monitoring, model drift monitoring).
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals.
Act as an escalation point, providing guidance and direction to less experienced staff; drive engineering excellence across the team.
Ensure delivery aligns with policies, procedures, compliance requirements, and risk management expectations for supported areas.
Desired Qualifications:
Strong hands-on engineering in Java and/or Python, with experience building production services and integrating Al components into enterprise applications.
Experience in building and operating vector databases to enable semantic retrieval, embedding-based search, and Al-driven knowledge systems.
Experience with vector search / retrieval patterns and grounding approaches used for enterprise RAG solutions.
Experience implementing safe controls such as human-in-the-loop approvals, exception escalation, and policy guardrails for agentic systems.
Experience with cloud environments (e.g., Azure, AWS, Google Cloud) and managing applications in cloud/container ecosystems.
Experience with CI/CD and automated deployments and "test-centric" engineering methodologies (TDD/BDD).
Familiarity with event streaming or messaging technologies (e.g., Kafka).
Strong analytical/problem-solving skills and ability to explain model behaviors, failure modes, and technical tradeoffs to stakeholders.
Familiarity with financial services technologies and regulated environments is a plus.
Numbers & Facts
Location
Charlotte, NC
Industry
Computer/IT Services
Company Size
500 to 999 employees
Year Founded
1990
Website
http://q1tech.com/
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
Skills
Agent Communicationunmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Kafkaunmatched
Artificial Intelligence (AI)unmatched
Cloud Applicationsunmatched
Cloud Computingunmatched
Consultingunmatched
Conversation Engineunmatched
Ecosystemsunmatched
Enterprise Applicationsunmatched
Financial Servicesunmatched
Identify Issuesunmatched
Javaunmatched
MCP - Microsoft Certified Professionalunmatched
Mentoringunmatched
Messaging Technologyunmatched
Microsoft Windows Azureunmatched
Operational Improvementunmatched
People Managementunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Quality Monitoringunmatched
Regulatory Complianceunmatched
Risk Managementunmatched
Software Engineeringunmatched
Strategic Planningunmatched
Streaming Technologyunmatched
Technical Strategyunmatched
Technology Analysisunmatched
Test Plan/Scheduleunmatched
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