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30d ago

Senior AI Engineer — Conversational Voice AI

SmartAdvocate Remote 🇺🇸 Remote

Remote

30d ago Closed

$120k - $160k/yr Full time Backend Developer Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 29, 2026).

Job Description

SmartAdvocate is hiring a Senior AI Engineer to build and operate enterprise conversational voice AI agents for legal case intake and client calls.

Responsibilities

Architect, build, and deploy conversational voice agents for callers, leads, and clients.
Integrate conversational agents with VoIP/SIP and cloud communications platforms including Twilio, Plivo, Amazon Connect, and LiveKit.
Support real customer telephony topologies: call forwarding, conferencing an SA number onto a live call, and full number porting.
Handle live-call dynamics such as barge-in and turn-taking, interruptions, poor reception, accents, and background noise.
Optimize real-time performance across STT, TTS, NLU, and latency budgets; tune voices for naturalness.
Design warm transfer and escalation workflows to hand calls to humans with full context, including routing high-value or urgent situations immediately.
Build real-time pipelines that transcribe, parse, and structure conversations to populate case fields, create intake records, update case notes, and trigger downstream workflows.
Record and summarize every call into the case file with clear provenance for agent-provided content.
Detect caller language and respond in it, with Spanish prioritized after English.
Implement caller identification and authentication before any case information is disclosed (caller ID alone is not identity).
Make agent behavior configurable per firm, including operating hours and after-hours coverage, outbound calling windows by callee type and time zone, escalation rules, and voice selection.
Add guardrails, fallbacks, structured logging, and call/transcript retention designed for audit readiness.
Own production operations end-to-end: latency budgets, monitoring, alerting, failover, and on-call. Treat a law firm’s main phone line as an availability-critical system.

Requirements

Production experience building conversational voice agents integrated with telephony infrastructure such as SIP/RTP, WebRTC, Twilio Media Streams, LiveKit, Deepgram, ElevenLabs, Vapi, Retell, or similar.
Real-time audio pipeline engineering experience with streaming STT and TTS, sub-second response handling, concurrency, and latency profiling under load.
Pipeline engineering for extracting structured JSON or database payloads from live audio streams.
Python service development strength (FastAPI/async or equivalent) and clean REST API design.
Production-grade LLM integration, including function/tool calling, structured outputs, prompt/context engineering, and cost and latency tuning.
Event-driven and asynchronous patterns including queues, background workers, retries, and idempotency.
Systematic evaluation of conversational quality using test suites, transcript review, and regression testing when prompts or models change.
Production ownership experience including containerized deployment, CI/CD, monitoring, structured logging, and personally debugging a live outage.

Technologies

VoIP/SIP, Twilio, Plivo, Amazon Connect, LiveKit
SIP/RTP, WebRTC, Twilio Media Streams
Deepgram, ElevenLabs, Vapi, Retell
STT, TTS, NLU
FastAPI, Python
LLM, JSON, REST API
CI/CD, queues

Benefits

Salary range: USD 120,000 - 160,000 per year
Comprehensive benefits package
401(k) and 401(k) matching
Dental insurance
Flexible spending account
Health insurance and health savings account
Life insurance
Paid time off
Parental leave
Vision insurance
Reports to the CTO; works with the existing AI Architect and AI development team
Location: Remote (US) or Hybrid in Melville, NY
Opportunity to lead high-impact AI work on an established platform with real customers, real data, and unsolved problems in legal tech

Safety, Configuration and Operations

Design caller identification and authentication before disclosing any case information; caller ID alone is not identity.
Configure behavior per firm: operating hours and after-hours coverage, outbound calling windows by callee type and time zone, escalation rules, and voice selection.
Implement guardrails, fallbacks, structured logging, and call/transcript retention suitable for an audit.
Own production service reliability including latency budgets, monitoring, alerting, failover, and on-call support.

Nice to Have

Telephony compliance: state call-recording and consent law, TCPA, permitted calling windows, spam-labeling, and verified-number strategy.
Experience with C#, .NET / ASP.NET and Microsoft SQL Server (core platform), while AI services are Python.
Experience in regulated industries such as legal, medical, insurance, or similar.
Multi-language voice development with Spanish as the priority.
Caller authentication patterns including callback-to-number-on-file and PIN or knowledge-based verification.
Understanding of HIPAA, PHI handling, and attorney-client privilege constraints for AI applications.
Working knowledge of voice AI unit economics such as per-minute cost, model selection, and cost-per-call optimization.

Live Data Extraction and Write-Back

Build real-time pipelines to transcribe, parse, and structure conversations into case fields, intake records, case notes, and downstream workflows.
Record and summarize every call into the case file with clear provenance for agent-entered information.
Detect caller language and respond in it, with Spanish prioritized after English.

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1mo ago

Lead AI Engineer

Main Sail LLC Remote 🌍 Remote

Remote

1mo ago Closed

$85 - $95/hr Full time Backend Developer Manager Agent Orchestration

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Main Sail LLC is seeking a Lead AI Engineer to design and deliver agentic AI and conversational solutions across Google, AWS, and Microsoft ecosystems. The role focuses on context engineering, agent design, secure API-based data access, and ongoing model performance and governance.

Key Responsibilities

Develop applications that interact with web services, APIs, and other software applications.
Lead and mentor AI design and development efforts as needed, including conducting peer reviews to maintain and expand AI design standards.
Design the overall structure of agentic AI solutions, including defining required features, user flow, and API development and integration with other systems.
Implement and tune Natural Language Processing techniques to improve AI assistant understanding and response accuracy.
Train and deploy AI models, and monitor solution performance using dashboards.
Create custom indexes, manage data sources, and tune intent matching to improve accuracy and relevance within the AI solution context.
Design conversational flows that deliver a seamless, intuitive experience with human-like and engaging agent interactions.
Analyze agent interaction data to identify patterns, trends, and improvement opportunities.
Prepare reports on agent performance metrics and investigate agent performance issues through debugging and system updates.
Ensure the AI agent and conversational assistant comply with data privacy laws and maintain high security standards when handling sensitive user data.
Collaborate with cross-functional teams, including business analysts, UX designers, project managers, and business customers and business SMEs.
Work with Automation Center of Excellence (CoE) members, incorporating established standards and ensuring solutions align with target architectures and technology roadmaps.
Support safe and transparent AI operations within accepted boundaries, aligned to organizational governance policies and practices.
Plan, initiate, and spearhead proof of concept (POC) initiatives using emerging technologies.
Produce technical writing and materials using Word, PowerPoint, Visio, SharePoint, and Excel to create presentations and white papers.

Required Qualifications

Bachelor’s degree in computer science, Information systems, or a related discipline, or equivalent and extensive related project experience.
Six years of IT experience, including at least four years implementing AI conversational agents and/or generative AI.
Two years of experience developing Google conversational agents, including CX Agent Studio and Dialogflow CX Web and Voice Virtual Assistants.
Two years of experience developing Enterprise Looker Dashboards to monitor AI agent performance.
Two years of experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.

Preferred Qualifications

Agentic AI Developer experience using Microsoft Foundry.
Experience developing and maintaining SharePoint Online solutions using MS Power Platform.
Google and AWS certifications relevant to the role.

Skills and Technical Focus

Extensive experience building AI conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Dialogflow CX, and/or Google CCAI Services.
Ability to build and maintain Enterprise Looker Dashboards for monitoring AI agent performance.
Experience delivering generative AI solutions in the AWS ecosystem, including AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.
Capability to develop AI agents and virtual assistants using Microsoft Foundry with Azure services including Azure AI Search and Azure AI Language Service, plus Microsoft Power Platform and Microsoft CoPilot Studio.
Ability to integrate virtual assistants with Microsoft services such as Office 365 and SharePoint, and third-party APIs.
Deep understanding of API design principles and AI service interface constraints.
Strong programming skills in C#, .NET, JavaScript, or Python for chatbot application development, testing, and deployment.
Ability to facilitate discussions with business SMEs, and create and present AI solution proposals that communicate business and technical concepts.
Experience training and deploying AI models, and leading efforts to create technology solutions and architectures affecting critical business areas.
Ability to lead emerging technology analysis and conduct proof of concept initiatives.
Strong consultative skills across cross-functional stakeholders, including critical thinking and problem-solving.
Ability to establish and maintain high customer trust and confidence.

Technologies

Google CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, Google CCAI Services
Looker Dashboards
AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, Step Functions
Microsoft Foundry, Azure AI Search, Azure AI Language Service
Microsoft Power Platform, Microsoft CoPilot Studio, Office 365, SharePoint
C#, .NET, JavaScript, Python
Word, PowerPoint, Visio, Excel
NLP, LLM, Natural Language Processing, Artificial intelligence and machine learning fundamentals

Education

Bachelor’s degree in computer science, Information systems, or a related discipline. Master’s degree is preferred.

Location and Compensation

Location: Remote (remote). Compensation: USD 85 to 95 per hour.

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