Top Technical Support Engineer Jobs Openings in 2025

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About Us 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 Us 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. What you’ll be doing 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 Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI- Redwood City, CA (Hybrid)

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Who are we?Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore. Who are you?The Senior AI Application Engineer will be pivotal in providing world-class post-deployment support for Ema’s Agent Assist/Chatbot product. This role requires a strong blend of technical expertise and customer-focused problem-solving. You will configure, troubleshoot, and optimize AI solutions for our customers, ensuring high performance, continuous improvement of customer workflows, and exceptional customer satisfaction. You will independently manage complex deployments and solutions for enterprise customers with minimal guidance.You will:Roles and ResponsibilitiesConfigure and integrate AI/GenAI workflows using platform APIs and customer data, ensuring smooth and secure deployment.Translate customer requirements into technical solutions, validating workflow correctness and continuously refining prompts for optimal performance.Develop and automate tasks using Python & SQL, and build prototypes using open-source Agentic Frameworks to streamline CX workflows.Design, run, and analyze A/A experiments to measure and improve workflow quality and reliability.Monitor AI workflows using business metrics and observability dashboards, quickly responding to issues to ensure high availability.Provide proactive solutions and regular updates to customers, maintaining high CSAT through effective troubleshooting and communication.Diagnose and resolve platform issues related to APIs, data integration, and workflow configurations, collaborating with engineering when needed.Utilize APIs and integration protocols (JSON, REST, SOAP) to configure workflows and integrate with CRM/ATS tools.Write custom scripts to query databases and create reports for in-depth analysis and to demonstrate ROI to customers.Ideally, you'd have:Experience:4+ years of software engineering experience.Significant experience in AI/LLM application development, including building agents, integrations, workflows, and evaluating/improving their performance.Experience setting up, configuring, and supporting ML Systems or AI Agents is a plus.Experience in building LLM-based evaluation frameworks & conducting UATs with real customers.Experience with prompt engineering techniques.Demonstrated the ability to manage complex deployments & solution design for an enterprise customer independently with minimal guidance.Familiarity with key support metrics (FRT, AHT, TAT, CSAT) and reporting.Strong troubleshooting and problem-solving skills, especially in production environments. Ideal candidates should be able to troubleshoot ML performance issues & recommend solutions to improve accuracy metrics & other business KPIs.Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders.Technical Skills:Proficiency in Python & SQL scripting.Understanding of Data Structures & Algorithms is a plus.Experience with prompt engineering techniques.Proficient at invoking platform APIs to retrieve or push data, configure workflows.Familiarity with JSON, REST, SOAP or other integration protocols. Familiarity with integrating common CRMs/ATS tools would be a plus.Data-driven evaluation skills, including setting up and interpreting A/A experiments.Familiarity with logging, dashboard creation, and alerting tools.Soft Skills:Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders.Demonstrated ability to manage complex deployments & solution design for an enterprise customer independently.Strong troubleshooting and problem-solving skills, especially in production environments.Ownership & Initiative: Takes responsibility for ongoing workflow management and customer outcomes.Curiosity & Continuous Learning: Actively explores new GenAI/automation techniques and best practices to enhance workflows.Collaboration: Works effectively across multiple teams.Customer Empathy: Prioritizes customer success criteria, ensuring solutions address real business needs.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.