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Software EngineerMotion Recruitment • CHANDLER, Arizona, United States
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Software Engineer

Software Engineer

Motion Recruitment • CHANDLER, Arizona, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for an AI Engineer, Conversational & Agentic AI(GCP) in Chandler, AZ (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration : 24 Months

We are looking for an AI Engineer with experience in building and integrating Conversational AI and Generative AI solutions on Google Cloud Platform (GCP) . You will work on implementing agentic AI systems , multi-agent orchestration , and real-time event-driven architectures that power intelligent conversational experiences for enterprise and regulated industry use cases.

This role is ideal for an engineer who enjoys hands-on development and wants to grow expertise in advanced GenAI, orchestration frameworks, and responsible AI practices.

Required Skills & Experience

  • 4+ years of experience in AI / ML engineering, software development, or cloud-based solutions.
  • Hands-on experience with Generative AI, LLMs, or Conversational AI.
  • Working knowledge of LangChain, LangGraph, or similar orchestration frameworks.
  • Familiarity with GCP services – Vertex AI, BigTable, Pub / Sub, AlloyDB, Cloud Functions.
  • Experience with MLOps pipelines, model deployment, and monitoring.
  • Basic understanding of hallucination control, RAG, and guardrail mechanisms.
  • Strong coding skills in Python (Go or Java is a plus).
  • Good understanding of Responsible AI and data governance concepts.
  • Excellent problem-solving and communication skills, with a willingness to learn and collaborate.

What You Will Be Doing

  • GCP Conversational Agent platform with Playbooks and tooling, connectors and data sources and prompt engineering
  • Agentic AI
  • Complex orchestration with Multiple GenAI Agents using LangGraph , LangChain (with ReACT ) and LLM tooling
  • Using massive scale, low latency, real time architecture implementations : Focus on eventing and extending conversational context (Big Table, Time series, Pub / sub or Kafka
  • ML framework and MLOps experience
  • Proven experience in combating hallucination running all the time (not just 1 time exercise),
  • Implementation of guard rails, supervisor and observability with explanation / transparency for GenAI
  • Responsible AI (RAI) Implementation at scale for regulated industries like Fintech
  • Cost Optimization of GenAI solutions with hybrid solutions (deterministic versus probabilistic)
  • Integration with GCP Cloud native Microservice, event driven technology stack ( Big Table, pub / sub. alloyDB)
  • Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.
  • Preferred Qualifications :

  • Experience working on event-driven systems or streaming data architectures.
  • Exposure to fintech, healthcare, or regulated industry AI applications.
  • Knowledge of LLM optimization, cost control, and prompt performance tuning.
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