AI Agent Engineer
Observe.AI
Job Overview
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Job Description
About Observe.AI
Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business.
Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management.
Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel.
Why Join Observe.AI?
We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization.
You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance.
Key Responsibilities of an AI Agent Engineer
- Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms.
- Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined.
- Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems.
- Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality.
- Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets.
- Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion.
- Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery.
What You'll Bring To The Role
- 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions.
- Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.).
- Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.).
- ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization.
- Solid programming skills (Python, JavaScript, or similar).
- Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos.
- Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management.
- Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies.
Perks & Benefits
- Competitive compensation including equity.
- Excellent medical, dental, and vision insurance options.
- Flexible time off.
- 10 Company holidays + Winter Break and up to 16-weeks of parental leave.
- 401K plan.
- Quarterly Lifestyle Spend.
- Monthly Mobile + Internet Stipend.
- Pre-tax Commuter Benefits.
Key skills/competency
- Conversational AI
- LLM Integration
- Prompt Engineering
- API Integration
- Telephony Integration (SIP, PSTN)
- Python/JavaScript Programming
- ML Engineering
- Retrieval-Augmented Generation (RAG)
- Customer Engagement
- System Integration
How to Get Hired at Observe.AI
- Research Observe.AI's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to AI and customer experience.
- Tailor your resume for AI Agent Engineer: Highlight experience in conversational AI, prompt engineering, LLM integration, and customer-facing technical roles, emphasizing enterprise solutions.
- Showcase technical expertise: Prepare to discuss hands-on projects involving API integration, telephony protocols (SIP, PSTN), RAG, and relevant programming languages like Python.
- Demonstrate problem-solving and client skills: Be ready to share examples of how you've translated complex client needs into technical solutions and navigated integration challenges effectively at Observe.AI.
- Understand Observe.AI's product impact: Articulate how your skills as an AI Agent Engineer align with Observe.AI's goal of transforming customer experiences through AI agents and copilots.
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