Hi,
Hope you are doing well
I have an urgent opening of Full Stack AI Engineer at remote role
Position Type: Contract
Location: Remote, United States
Description:
Interview : Video
Description :
POSITION SUMMARY:
The Full Stack AI Engineer II designs, builds, tests, deploys, and operates enterprise-grade AI agents across digital and voice channels. This role combines full stack engineering, large language model application development, conversational design, cloud-native delivery, security, and production operations. The engineer will translate business needs into dependable agent experiences that integrate with enterprise APIs and data while meeting measurable standards for quality, latency, containment, security, and observability.
KEY RESPONSIBILITIES:
- Production LLM agents: Build and maintain production LLM agents using prompt design, structured outputs, tool calling, retrieval patterns, workflow orchestration, and multi-agent coordination.
- Conversational platforms: Develop agent solutions using Google Customer Engagement Suite Agent Studio, Dialogflow CX, and Agent Development Kit (ADK), including intents, flows, tools, webhooks, and environment configuration.
- Voice agent engineering: Design low-latency voice experiences that optimize turn-taking speed, support barge-in, recover gracefully from speech recognition errors, manage silence and retries, and keep calls focused on successful resolution.
- Full stack development: Develop Python and TypeScript/Node.js services, APIs, integrations, orchestration components, and lightweight user or operations interfaces required to support agent experiences.
- Enterprise integration: Integrate agents with internal and external APIs, event-driven services, business systems, and governed data sources using resilient authentication, error handling, retries, idempotency, and rate-limit controls.
- Agent evaluation: Create conversational regression suites, simulation-based tests, golden conversation sets, quality rubrics, and release gates. Measure task completion, correctness, safety, latency, escalation quality, and user outcomes.
- Identity and access: Implement agent identity with Microsoft Entra Agent ID and standards-based OAuth 2.0/OIDC patterns, including token exchange, scoped authorization, secret handling, and least-privilege access.
- Cloud engineering: Build and operate services on Google Cloud Platform using Cloud Run, IAM, Secret Manager, BigQuery, logging, monitoring, and related managed services.
- RAG: Experience designing and operating production RAG pipelines, including ingestion, chunking, embeddings, vector/hybrid search, metadata filtering, re-ranking, grounding, and retrieval evaluation.
- Infrastructure as code: Define repeatable cloud infrastructure, service configuration, access policies, and environment setup using Terraform.
- CI/CD for agents: Establish versioning and promotion practices for prompts, tools, flows, models, and configuration. Support temporary branch agents and controlled promotion across development, test, staging, and production environments.
- Observability and analytics: Implement structured logging, distributed tracing, conversation analytics, auditability, and dashboards for containment, transfer rate, outcome, quality, error, cost, and latency metrics.
- AI-assisted engineering: Use GitHub Copilot and Copilot custom agents and skills to accelerate delivery while applying code review, testing, provenance checks, and human-in-the-loop guardrails.
- Operational excellence: Participate in design reviews, incident response, root-cause analysis, performance tuning, documentation, and ongoing improvement of reusable AI engineering patterns.
REQUIRED QUALIFICATIONS:
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
- 3+ years of professional software engineering experience, including hands-on backend or full stack development with Python and TypeScript/Node.js.
- 1+ year of hands-on experience building LLM-powered applications, conversational AI solutions, or production automation using prompts, tools, APIs, and evaluation methods.
- Experience designing RESTful APIs, asynchronous workflows, service integrations, and cloud-native applications.
- Working knowledge of OAuth 2.0, OIDC, service identities, token handling, secrets management, and least-privilege security practices.
- Experience with CI/CD, Git-based development, automated testing, containerized deployment, and infrastructure as code.
- Ability to troubleshoot distributed systems using logs, traces, metrics, and reproducible test cases.
- Strong written and verbal communication skills, with the ability to collaborate across product, design, security, architecture, quality engineering, and operations teams.
PREFERRED QUALIFICATIONS:
- Hands-on experience with Dialogflow CX, Google Customer Engagement Suite Agent Studio, and Google Agent Development Kit (ADK).
- Experience with Cloud Run, Google Cloud IAM, Secret Manager, BigQuery, Cloud Logging, and Cloud Trace.
- Experience building real-time voice agents using streaming speech-to-text, text-to-speech, telephony integration, interruption handling, and low-latency orchestration.
- Experience with Microsoft Entra Agent ID or Microsoft Entra workload identity patterns.
- Experience developing multi-agent systems, agent-to-agent interactions, tool registries, or Model Context Protocol integrations.
- Experience building offline and online evaluation pipelines, conversation simulators, regression suites, and automated release gates for AI systems.
- Experience with Terraform modules, policy controls, environment promotion, and ephemeral preview or branch environments.
- Familiarity with responsible AI practices, prompt injection defenses, content safety controls, privacy-by-design, and human escalation patterns.
TECHNICAL COMPETENCIES:
- LLM and agent engineering: Prompting, tool calling, structured outputs, orchestration, evaluations, guardrails, release management.
- Conversational and voice AI: Dialogflow CX, Agent Studio, ADK, turn latency, barge-in, recognition recovery, containment.
- Application engineering: Python, TypeScript/Node.js, APIs, event-driven integration, testing, secure coding.
- Cloud and platform: Google Cloud Platform Cloud Run, IAM, Secret Manager, BigQuery, containers, Terraform.
- Identity and security: Entra Agent ID, OAuth 2.0, OIDC, token exchange, secrets, least privilege.
- DevOps and operations: Git, CI/CD, environment promotion, branch agents, logging, tracing, analytics, incident support.
CORE BEHAVIORS:
- Customer-focused problem solving and ownership from design through production support.
- Pragmatic engineering judgment that balances speed, reliability, security, maintainability, and cost.
- Curiosity and disciplined experimentation with rapidly evolving AI technologies.
- Clear communication of technical trade-offs, risks, metrics, and delivery status.
- Collaborative delivery with product managers, conversational designers, architects, security teams, QA engineers, and business stakeholders.
Regards,
Nitin Gupta
Resources Manager
ShiftCode Analytics Inc.,
5118 Sylvester loop Tampa,
Florida 33610
Direct:
Email:
