• Design and build user-facing AI capabilities that simplify decision-making, surface insights, and enable faster action for operational teams. • Create and maintain multi-step LLM workflows that combine prompts, tools, and data to execute complex tasks—enabling conversational agents, data-powered assistants, and automation flows that deliver measurable process improvements. • Use retrieval-augmented generation (RAG) to combine internal data with LLMs and generate context-aware, trustworthy results. These capabilities will evolve into trusted product experiences. • Deliver features that set PAR apart from the competition and provide tangible value to users—leading to greater product adoption and customer retention.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior AI and Automations Engineer, you will be the primary builder on Pearl's AI and Automation team. You will design, build, and ship the automation workflows and AI-powered tools that drive Pearl's recruitment operations — from candidate pre-qualification pipelines to client-facing matching systems. You'll work directly with the AI & Automation Strategy Lead to translate strategic priorities into production systems. This is a hands-on, high-ownership role: you'll be building from day one, not sitting in planning meetings. This role is ideal for someone who is a fast, independent builder — comfortable shipping V1s quickly, integrating AI APIs into real business workflows, and iterating based on feedback from non-technical stakeholders. Your Impact - Build and maintain the automation infrastructure that processes 25,000+ candidates monthly through multi-step AI workflows. - Integrate LLM APIs (Claude, Gemini, OpenAI) into production candidate evaluation and matching pipelines. - Architect and ship internal tools — matching engines, scoring systems, data pipelines — that directly reduce recruiter workload and accelerate placements. - Own the technical build on N8N (self-hosted), designing reliable, scalable workflows with proper error handling and monitoring. - Eventually build client-facing product features — portals, matching interfaces, AI-powered tools — as Pearl scales its technology offering. - Enable the team to move faster by creating systems that non-technical teammates can operate without engineering support. Areas of Responsibility - Automation Infrastructure — 50% - Design, build, and maintain automation workflows on N8N (self-hosted) that power Pearl's candidate processing pipeline. - Build integrations between Workable (ATS), HubSpot (CRM), Google Sheets, and various AI model APIs. - Implement error handling, retry logic, webhook reliability, and monitoring across all production workflows. - Optimize existing workflows for cost (token management, API call efficiency) and speed. - Create Google Sheets-based interfaces so operations teams can interact with automations without touching the backend. - AI Integration & Tooling — 30% - Wire up LLM APIs (Claude, Gemini, OpenAI) into candidate evaluation, matching, and scoring workflows. - Build prompt engineering systems with structured outputs — reliable, repeatable, and production-grade. - Develop candidate-to-JD matching tools that pull from Workable reports, score against client requirements, and surface ranked profiles with match explanations. - Prototype and ship internal AI tools that solve operational bottlenecks identified by the Strategy Lead and department heads. - Product Development & Scaling — 20% - Build toward client-facing product features: matching portals, onboarding experiences, AI-enabled talent tools. - Architect data models and backend services (FastAPI/Flask/Node.js) for internal and external tools. - Develop frontend interfaces (React/Next.js) for internal dashboards and eventually client-facing products. - Document systems and create handoff materials so that upkeep can be managed by other team members. Qualifications - 4–7 years in software development, with at least 2 years focused on backend/full-stack and 1+ year working with AI/LLM integrations or automation at scale. - Has built and shipped automation workflows in production — not just prototypes. - They've dealt with broken webhooks at 2am, token cost blowouts, and API rate limits in real environments. - Has integrated 3+ systems together in a single pipeline (e.g., CRM → AI model → ATS → notification layer) and owned the reliability of that pipeline. - Has wired LLM APIs into business workflows — not just chatbots or demos, but structured output systems that non-technical users depend on daily. - Has built at least one internal tool end-to-end — from database schema to API to frontend — that a team actually used in production. - Can show a portfolio or GitHub with real projects, not just tutorial repos. - Has worked in a startup or small team environment where they had to wear multiple hats, make architecture decisions without a senior lead, and ship under time pressure. - Communicates proactively — sends updates before being asked, flags blockers early, writes docs without being told to. Must-Haves (Required) - 4–7 years of experience in full-stack software development (Python backend + React/Next.js or similar frontend). - Production experience building and maintaining automation workflows — N8N, Make, Zapier, or comparable orchestration tools at scale (not hobby projects). - Hands-on experience integrating LLM APIs (OpenAI, Anthropic/Claude, Google Gemini) into production systems — prompt engineering, structured output parsing, cost optimization. - Strong API integration skills — has connected CRMs, ATS platforms, communication tools, and external APIs in production environments. - Database fluency — PostgreSQL or similar. Can design schemas, write efficient queries, and build data models. - Comfortable working with Google Sheets/Apps Script as a data layer alongside proper databases. - Can communicate technical trade-offs clearly to non-technical stakeholders (recruiters, sales, ops leads). - Ships fast — comfortable with "good enough to test" V1s and iterating live based on feedback. - Self-directed — can take a vague brief ("we need candidates matched to JDs faster") and scope the technical approach independently. - Proactive problem-finder — identifies optimization opportunities and proposes solutions before being asked. - Excellent written and verbal communication in English — can write clear documentation, explain technical decisions in Slack/Loom, and collaborate async with a distributed team. Nice-to-Haves (Preferred) - Experience in staffing, recruitment, or HR tech — understands ATS data models, candidate pipelines, and placement metrics. - Has built a client-facing product (not just internal tools) — portal, marketplace, or SaaS feature. - Experience with N8N self-hosted specifically (community nodes, custom functions, credential management). - Familiarity with AI agent frameworks (CrewAI, AutoGen, LangChain) or agentic tool setups (MCP servers, Claude Workspace). - Experience with HubSpot or Workable APIs. Tools Proficiency - Must-Haves (Required) - Python, N8N (self-hosted), FastAPI/Flask or Node.js, React/Next.js, PostgreSQL or similar RDBMS, REST APIs & webhooks, Google Sheets/Apps Script, Git, LLM APIs (Claude, Gemini, OpenAI) - Nice-to-Haves (Preferred) - Docker, HubSpot API, Workable API, Zapier/Make, Redis, AWS/GCP basics, Terraform or similar IaC Benefits - Monthly performance bonus - Fully remote, forever - Annual team retreat - Unlimited PTO - Real-world experience in recruitment marketing and sourcing - A behind-the-scenes look at how we connect people with opportunities - A supportive team that values your growth and ideas Ready to Join Us? If you’re hungry to lead, build, and scale—and you’ve done it before—then this is the opportunity you’ve been waiting for. Apply now and help us build the world’s best recruitment team!

Description Sprout Social empowers businesses worldwide to harness the immense power and opportunity of social media in today’s digital-first world. Processing over one billion social messages daily, our platform serves up essential insights and actionable information to over 30,000 brands, informing strategic decisions that drive business growth and innovation, and fostering deeper, authentic connections to their end customers. Our full suite of social media management solutions includes comprehensive publishing and reporting functionality, customer care solutions, influencer marketing, connected workflows, business intelligence, and proprietary agentic AI. What you’ll do - Ensure we build, scale, ship, and monitor our AI and Agent platforms reliably, leveraging technologies such as Java, Python, MySQL, OpenSearch, Redis, AWS, and Kubernetes. - Integrate generative AI and agentic AI across Sprout’s existing ecosystem and infrastructure, helping define and build frameworks for platform AI enablement. - Build with AI and agentic AI in your own work, using tools such as Claude Code. - Influence and contribute to technical roadmaps by researching and prototyping emerging AI technologies, frameworks, and state of the art methods. - Partner with product managers, designers, applied AI/ML scientists, and other engineers to define requirements and complete feature work. - Uphold project quality and planning through meeting deadlines, breaking down work, and ensuring proper testing and monitoring. - Contribute to the team’s growth through mentorship, knowledge sharing, and providing feedback on PRs and technical designs. What you’ll bring We’re looking for an experienced and impact oriented engineer to join our team in building great software. If you enjoy working on cutting edge and rapidly changing technology, thinking through secure system design, and want to accelerate building generative AI and Agentic AI features, we’d love to talk with you! The minimum qualifications for this role include: - 4+ years of experience designing, developing, and supporting production-grade backend distributed systems or platform services at scale in languages such as Java or Python. - 3+ years of experience improving architectural patterns of large-scale software applications. - 1+ years of experience driving root-cause analysis and resolving complex architectural and performance bottlenecks across the entire stack. Preferred qualifications for this role include: - 1+ years of experience architecting high-throughput, cost-optimized, and scalable systems that power AI-enabled features. - 1+ years of experience implementing and leveraging LLM and agent orchestration frameworks (e.g., LangChain4j, LangGraph, CrewAI). Bonus: - Experience designing and implementing secure, extensible java MCP architectures. - Experience supporting server-driven UI, with the ability to contribute across both platform and web. How you’ll grow Within 1 month, you’ll plant your roots, including: - Completing Sprout’s New Hire training program alongside other new Sprout team members. - Acclimating to the team's current Mission, Goals, and Objectives along with future product roadmaps. - Deploying and making changes to our production systems. - Collaborating regularly with the development team to deliver value to our users. - Getting regular team feedback on your work through code reviews and pairing. - Proactively monitoring the health of our services in production to ensure our customers always have a world-class experience Within 3 months, you’ll start hitting your stride by: - Learning, updating, and improving Sprout’s existing AI platform services and frameworks. - Being the first line of defense against product outages and bugs while on support duty. - Working with your dev team to come up with the MVPs of new features. Within 6 months, you’ll be making a clear impact through: - Being “point person” on a project, including writing design documents, coordinating dependencies, and acting as domain owner. - Collaborating with product managers, applied AI/ML scientists, and web-engineers to identify opportunities for improving the scalability, reliability, latency, and cost of Sprout’s AI systems. - Staying up to date with generative AI, agentic AI, and MCP related technologies and leveraging that knowledge to improve and influence our technical roadmap. Within 12 months, you’ll make this role your own by: - Shipping, and making it easier to ship and support, AI Agents and generative AI solutions at Sprout. - Owning cross-organizational projects and mentoring other engineers to help them grow. - Surprising us! Use your unique ideas and abilities to change your team in beneficial ways. Of course, what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager. Our Benefits Program We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes: - Insurance and benefit options that are built for both individuals and families - Progressive policies to support work/life balance, like our flexible paid time off and parental leave program - High-quality and well-maintained equipment—your computer will never prevent you from doing your best - Wellness initiatives to ensure both health and mental well-being of our team - Ongoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity and inclusion initiatives. - Growing corporate social responsibility program that is driven by the involvement and passion of our team members - Beautiful, convenient and state-of-the-art offices in Chicago’s Loop and downtown Seattle, for those who prefer an office setting Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter. Individual base pay is based on various factors, including whether you’re located in Zone 1 or Zone 2, as well as relevant experience and skills. In the United States, we have two geographic pay zones. For this role, the expected base pay ranges for new hires are: - Zone 1 (New York, California, Washington): $164,200 - $220,00 USD annually - Zone 2 (All other US states): $149,200 - $220,000 USD annually The listed ranges represent earning potential in this position. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed. Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit). Employees are able to enroll in Sprout’s company’s 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers “Flexible Paid Time Off” and ten paid holidays. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package. Sprout Social is proud to be an Equal Opportunity Employer. We do not discriminate based on identity- race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Because Sprout Social is a federal contractor, we affirmatively recruit individuals with a disability and protected veterans. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report. If you require a reasonable accommodation for any part of the interview process or to submit your application, please email us at accommodations@sproutsocial.com. Include the nature of your request and your preferred contact information. We'll do everything we can to support your success during our recruitment process while upholding your privacy. Please note that only inquiries regarding accommodations will receive a response from this email address; other inquiries will not be addressed (e.g., you send your resume but are not requesting an accommodation). For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster and (2) Sprout Social's Affirmative Action Statement. Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law. #LI-REMOTE Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description - As a Solutions Architect, you will be responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services. - You will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. - Your role will focus on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance. - As a Solutions Architect, you will provide strategic technical leadership on complex, high-impact customer engagements. - You will design advanced technical solutions, manage technical risks, and collaborate with cross-functional teams to ensure successful solution delivery. - Your role will involve driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders. Responsibilities - Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms. - Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals. - Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor. - Lead technical workshops, training sessions, and presentations. - Define and execute data lifecycle processes: ingestion, storage, processing, and visualization. - Collaborate with business units and stakeholders to align solutions with business goals. - Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework). - Lead cross-functional teams, providing mentorship and guidance to technical talent. - Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning. - Drive backend/ML services best practices for scalable and maintainable solutions. - Oversee data governance and data quality processes across platforms. - Stay updated with the latest technology trends and continuously improve the architecture strategy. Requirements - 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure). - Excellent communication and problem-solving skills, with the ability to work across multiple projects and articulate complex technical concepts to both technical and non-technical audiences. - Technical sales or pre-sales experience with cloud and big data, and ML solutions. - Strong leadership and team collaboration abilities. - Strategic thinking with a focus on delivering measurable business value. - Proven ability to build strong relationships with customers and act as a trusted advisor. - Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack. - Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions. - Proven experience with data lakes, data warehouses, and real-time data analytics. - Proven experience with microservice architecture and containerized deployment options. - Hands-on experience with Kubernetes, Docker, and containerized applications. - Proficiency in any of backend-related languages: TS, Java, Python, and others. - Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow). - Demonstrated ability to lead and mentor cross-functional teams. - Familiarity with agile methodologies. Nice to Have - Experience in Generative AI implementations. - Proficiency with graph databases (Neo4j, AWS Neptune). - Knowledge of data mesh principles and data contracts. - Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform. Company Description Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. With offices in North America, LATAM, and EMEA, Provectus partners with clients around the world and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.