Application Engineer II job opportunity at HighLevel.



Date2026-02-09 bot
HighLevel Application Engineer II
Experience: 6-years
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loacation India, India
loacation India....India
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<p><strong>About us</strong><br aria-hidden="true">HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.<br aria-hidden="true">To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.<br aria-hidden="true">Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.<br><br><strong>Our people</strong><br aria-hidden="true">With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.<br><br><strong>Our impact</strong><br aria-hidden="true">Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.<br aria-hidden="true">Learn more about us on our <span style="text-decoration: underline;"><span draggable="true"><a rel="noopener noreferrer" href="https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g">YouTube Channel</a></span></span> or <span style="text-decoration: underline;"><span draggable="true"><a rel="noopener noreferrer" href="https://blog.gohighlevel.com/general-atlantic-joins-highlevel/">Blog Posts</a></span></span><br><br></p> <p><strong style="font-size: 16px;">Who You Are:</strong></p> <p><span style="font-size: 16px;">You are an AI-focused software engineer with strong backend fundamentals and hands-on experience delivering LLM-enabled applications. You have delivered production systems and apply a reliability-first approach across agentic orchestration and applied AI pipelines. You operate with increasing autonomy on well-scoped problems, while collaborating closely with senior engineers on system design, architecture decisions, and long-term technical direction.</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">You have hands-on experience implementing LangGraph workflows in production environments. You can take a workflow from vague intent to a shippable service with clear contracts, guardrails, evaluation, and observability.</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">You operate effectively in cross-functional delivery environments. You can partner directly with Business Analysts and org leaders to clarify outcomes, translate business needs into acceptance criteria, and communicate tradeoffs without getting stuck in ambiguity. You bring delivery discipline, iterate efficiently, and focus on measurable outcomes.</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">You apply a production engineering mindset. You build AI systems that are adopted in day-to-day operations, with monitoring, cost controls, and reliability built into the implementation.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">What You’ll Be Doing:</strong></p> <p><span style="font-size: 16px;">- Design, implement, and iterate on LangGraph workflows that support structured requirement capture, clarification loops, stateful routing, and tool orchestration.</span></p> <p><span style="font-size: 16px;">- Build reusable workflow components (nodes, validators, schema-enforced outputs, guardrails) and standard patterns for retries, fallbacks, and human-in-the-loop review where appropriate.</span></p> <p><span style="font-size: 16px;">- Implement robust tool execution patterns (timeouts, error taxonomy, idempotency where needed) and ensure safe, deterministic structured outputs for downstream automation.</span></p> <p><span style="font-size: 16px;">- Partner with Business Analysts and org leaders during discovery and refinement to clarify goals, constraints, and success metrics; translate requirements into sprint-ready tickets and acceptance criteria.</span></p> <p><span style="font-size: 16px;">- Build and maintain agent-callable services/APIs for Snowflake retrieval, operational actions (e.g., Slack/workflows), and data enrichment/packaging.</span></p> <p><span style="font-size: 16px;">- Establish evaluation and observability for agent workflows (golden cases, regression suites, tool mocks; latency/cost/error monitoring) and contribute to pragmatic SLOs.</span></p> <p><span style="font-size: 16px;">- Contribute to our in-house transcription application through agent adjustments and infrastructure improvements, including transcript ingestion, normalization (timestamps/speaker turns/metadata), storage, and retrieval surfaces for downstream tooling.</span></p> <p><span style="font-size: 16px;">- Improve reliability of transcription pipelines through queue/worker architectures, retries/backoff, idempotency, and replay tooling.</span></p> <p><span style="font-size: 16px;">- Implement and iterate on rubric-based call scoring (versioned rubrics, explainable outputs, calibration support) and publish scoring artifacts that are usable for coaching and operational workflows.</span></p> <p><span style="font-size: 16px;">- Implement streaming considerations where applicable (session handling, backpressure/reconnect patterns) and ensure clean handoffs between capture, transcription, and scoring stages.</span></p> <p><span style="font-size: 16px;">- Deliver scoped components and workflows with guidance on architecture and design decisions from senior engineers or tech leads.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">What You’ll Bring:</strong></p> <p><span style="font-size: 16px;">- 3–6 years of software engineering experience (backend/services preferred).</span></p> <p><span style="font-size: 16px;">- LangGraph experience is required (demonstrated implementation of real workflows).Strong proficiency in Python and/or TypeScript, including API/service design.</span></p> <p><span style="font-size: 16px;">- Experience building production services in a compiled, runtime-stable language (e.g., Go) for high-throughput, low-latency workloads (streaming I/O, async workers, and media/transcription pipelines).</span></p> <p><span style="font-size: 16px;">- Strong SQL skills; comfort working with warehouse-backed applications (Snowflake preferred).</span></p> <p><span style="font-size: 16px;">- Practical experience shipping LLM applications:</span></p> <p><span style="font-size: 16px;"> - tool/function calling, structured outputs, and schema validation</span></p> <p><span style="font-size: 16px;"> - retrieval patterns (RAG), routing, and context management</span></p> <p><span style="font-size: 16px;"> - prompt/version management and evaluation methodologies</span></p> <p><span style="font-size: 16px;">- Production engineering fundamentals:</span></p> <p><span style="font-size: 16px;"> - retries/idempotency, async job patterns, monitoring, and cost controls</span></p> <p><span style="font-size: 16px;">- Strong communication and stakeholder partnership skills:</span></p> <p><span style="font-size: 16px;"> - ability to lead technical discovery conversations</span></p> <p><span style="font-size: 16px;"> - ability to translate business intent into acceptance criteria and implementation plans</span></p> <p><span style="font-size: 16px;">- Botpress or similar agent builders (agent authoring and tool packaging).</span></p> <p><span style="font-size: 16px;">- Streaming systems exposure (WebSockets / HTTP2), backpressure + reconnect logic.</span></p> <p><span style="font-size: 16px;">- Audio fundamentals (FFmpeg basics, codecs) and experience with transcription providers.</span></p> <p><span style="font-size: 16px;">- Serverless/event-driven architectures (Cloudflare Workers/AWS), queues, observability platforms.</span></p> <p><span style="font-size: 16px;">- Experience contributing to production systems and growing ownership over time, with mentorship from senior engineers.</span></p> <p>&nbsp;</p>\n<p></p><p><br></p><p></p>\n<p><strong style="font-size: 16px;">Equal Employment Opportunity Information</strong></p> <p><span style="font-size: 16px;">The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">#LI-Remote&nbsp;#LI-MP1</span></p>

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