AI Engineer – Voice AI & Agentic Systems

AI Engineer – Voice AI \& Agentic Systems

About the company

BLiNKAI Automotive is a technology company focused on transforming fixed operations performance for automotive dealerships. The organization delivers a connected system that captures inbound service opportunities, generates new ones, and converts them into booked appointments through automation and data-driven intelligence. By integrating capabilities across voice, scheduling, communication, telematics, and CSI (Customer Satisfaction Index) management, BLiNKAI helps service lanes operate more efficiently and consistently. Team members collaborate with dealerships to reduce reliance on individual advisor availability and instead leverage scalable, automated processes. This environment offers professionals the chance to build impactful solutions that directly improve dealership service operations and customer experiences.

About the Role

We are looking for a highly hands-on AI Engineer with deep experience building production-grade Voice AI and agentic AI systems. This role is ideal for someone who enjoys solving real-world problems using modern LLMs, AI agents, speech technologies, and multi-agent orchestration frameworks.

You will work closely with product and engineering teams to design, build, and scale intelligent conversational systems that integrate into real business workflows and existing enterprise platforms.

Responsibilities

·      Design, build, and deploy real-time Voice AI solutions using platforms such as Vapi, Retell AI, Bland AI, or comparable vendors

·      Develop and manage multi-agent AI systems and autonomous AI workflows

·      Build, orchestrate, and optimize AI agents for complex business use cases

·      Engineer scalable AI pipelines using Python and modern AI/data frameworks

·      Design advanced prompts, prompt chains, and context management strategies

·      Integrate STT and TTS vendors into production systems

·      Configure voice agents, conversation flows, tool calls, APIs, and webhooks to connect voice platforms with business systems

·      Integrate Voice AI systems with SIP servers, PBX systems, and telephony infrastructure

·      Optimize conversational latency, reliability, accuracy, and call quality

·      Evaluate Voice AI vendors and build-versus-buy options based on latency, call quality, reliability, scalability, integration flexibility, and cost

Required Qualifications

·      Strong hands-on experience building production-grade Voice AI systems

·      Hands-on experience implementing production voice agents with Vapi, Retell AI, Bland AI, or comparable Voice AI platforms, including API/webhook integrations, call flows, and human handoffs

·      Experience building multi-agent or agentic AI systems

·      Working knowledge of AI agents, orchestration frameworks, and tool-calling architectures

·      Strong Python expertise with AI/ML/data mining frameworks

·      Deep understanding of prompt engineering and LLM optimization

·      Experience integrating with STT/TTS vendors such as Cartesia, Google Chirp, Amazon Polly, Deepgram, SoundHound, and ElevenLabs

·      Familiarity with SIP server vendors and telephony platforms such as FreeSWITCH, Asterisk, Twilio, SignalWire, OpenSIPS, Kamailio, Genesys Cloud, Amazon Connect, Cisco Unified Communications, Avaya, 3CX, RingCentral, Five9, NICE CXone, Vonage, Telnyx, Plivo, Bandwidth, Sinch and others

·      Experience working with SIP, RTP, WebRTC, streaming audio pipelines, and real-time event-driven systems

·      Strong problem-solving and system design skills

Nice to Have

·      Full stack development experience and familiarity with Java, TypeScript, ReactJS, and services architecture

·      Experience fine-tuning models for specific business domains or proprietary datasets

·      MCP (Model Context Protocol) experience and understanding of MCP frameworks

·      Experience integrating MCP concepts into existing enterprise systems

·      Experience with vector databases, RAG pipelines, and memory systems

·      Experience deploying AI systems at scale in cloud environments

Ideal Candidate

The ideal candidate is highly technical, deeply curious about modern AI systems, and comfortable moving quickly in a fast-paced environment. This is a hands-on engineering role for someone who enjoys building real AI products — not just prototypes.

Compensation \& Benefits

We offer a competitive compensation package that is based on candidate experience, technical depth, and overall fit for the role. Exceptional candidates with strong full stack and cloud engineering experience will be considered for highly competitive market compensation.

·      Competitive base salary

·      Performance-based bonuses and incentives

·      Flexible remote/work-from-home environment

·      Paid time off and company holidays

·      Access to leading engineering tools, platforms, and infrastructure

·      Opportunity to work on large-scale real-world SaaS platforms

·      Fast-moving engineering culture with significant ownership and impact

·      Health benefits: Medical, Dental \& Vision

·      401K