automation software engineer

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.
Key Responsibilities<ul><li>
Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models</li><li>
Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel</li><li>
Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations</li><li>
Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases</li><li>
Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services</li><li>
Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy</li><li>
Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions</li><li>
Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics</li><li>
Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment</li><li>
Develop MCP (Model Context Protocol) server integrations to extend agent capabilities</li></ul>
Requirements<ul><li>
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered</li><li>
2 or more years of hands-on experience building production AI systems or intelligent automation solutions</li><li>
Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks</li><li>
Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications</li><li>
Experience with vector databases and semantic search implementations is strongly preferred</li><li>
Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications</li><li>
Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial</li><li>
Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines</li></ul>
Technical Skills
LLM APIs: Anthropic Claude (claude-opus-4, claude-sonnet-4), OpenAI GPT-4o, Google Gemini, Mistral
Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Haystack
Workflow Automation: n8n, Make (Integromat), Zapier, Apache Airflow
Vector Databases and RAG: Pinecone, Weaviate, Qdrant, pgvector, Chroma, LlamaIndex
Programming: Python (primary), JavaScript/TypeScript, REST API design
Cloud and MLOps: AWS, Azure, GCP, Docker, FastAPI, CI/CD for AI pipelines
Observability and Evaluation: LangSmith, Helicone, Weights and Biases, custom evaluation harnesses
AI Agent Focus Areas<ul><li>
Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis</li><li>
Multi-agent orchestration including planner, executor, critic, and memory agent patterns</li><li>
Knowledge retrieval systems including enterprise RAG, document Q&amp;A, and semantic search</li><li>
Process automation integrating CRM, ERP, and communication tools end-to-end</li><li>
Agent safety, guardrails, and human-in-the-loop oversight mechanisms</li><li>
MCP server development for extending agent capabilities</li></ul>
Soft Skills<ul><li>
Strong problem-solving ability and analytical thinking</li><li>
Ability to translate complex business needs into practical technical solutions</li><li>
Effective collaboration and communication in a team-oriented environment</li><li>
Intellectual curiosity and commitment to staying current with AI research and trends</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

AI Engineer – Generative AI and Automation

D.A. Davidson Companies

<div>
 D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients&rsquo; financial well-being, we also work to strengthen local communities&mdash;and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.
 
 
 
 Summary/Function:
 
 
 We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users.
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Education &amp; Experience: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field. 5+ years of experience in software development, automation engineering, or similar roles
 </li>
 <li>
 Microsoft Ecosystem Proficiency: Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services)
 </li>
 <li>
 Programming Skills: Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. Experience building or consuming RESTful APIs and working with data integration
 </li>
 <li>
 Cloud &amp; AI Knowledge: Working knowledge of Azure cloud services and AI/ML frameworks. Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.)
 </li>
 <li>
 DevOps Mindset: Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes
 </li>
 <li>
 Problem-Solving &amp; Communication: Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. Excellent communication skills to work effectively with both technical and non-technical team members
 </li>
 <li>
 Coordination: Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more
 
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio - for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot&rsquo;s advanced features (custom actions, agent-to-agent workflows)
 </li>
 <li>
 Advanced AI &amp; ML Skills: Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&amp;A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more
 </li>
 <li>
 Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them
 </li>
 <li>
 Security &amp; Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft&rsquo;s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use
 </li>
 <li>
 Innovation &amp; Leadership: Demonstrated initiative in previous roles - maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current
 </li>
 <li>
 Lean and Agile background: Lots of experience working in highly-iterative development processes. You understand the principles of them but aren&rsquo;t married to any particular methodology
 </li>
 <li>
 Patience: Somebody prepared to deal with the boring and the tough. Every minute of every day in an AI role isn&rsquo;t always deploying new models and agents. An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day
 
 
 
 
 </li>
 </ul>
 The following is required from all associates of D.A. Davidson Companies:
 
 
 
 <ul>
 <li>
 Commitment to maintain client confidentiality and data security
 </li>
 <li>
 Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
 </li>
 <li>
 Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
 </li>
 <li>
 Ability to maintain regular, predictable attendance
 
 
 
 
 </li>
 </ul>
 
 Duties:
 
 
 
 <ul>
 <li>
 Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making
 </li>
 <li>
 Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval)
 </li>
 <li>
 Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed
 </li>
 <li>
 Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations
 </li>
 <li>
 DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues
 </li>
 <li>
 Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants&rsquo; effectiveness
 </li>
 <li>
 Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders
 
 
 
 
 </li>
 </ul>
 
 What do we offer:
 
 
 Competitive salary plus excellent benefits and perks including, but not limited to:
 
 
 
 <ul>
 <li>
 Medical, Dental and Vision
 </li>
 <li>
 Company 401(k)and ESOP contribution
 </li>
 <li>
 Generous sick, vacation, and maternity/parental leave
 </li>
 <li>
 Paid holidays
 </li>
 <li>
 Professional Development Opportunities
 </li>
 <li>
 Tuition Reimbursement ($15,000 lifetime cap)
 </li>
 <li>
 Discounted personal insurance including home, auto and recreational vehicles
 </li>
 <li>
 Charitable gift-matching program
 </li>
 <li>
 Davidson Day of Giving - Our tradition of positively impacting communities in which we live and work
 
 
 
 
 </li>
 </ul>
 The potential base pay hiring range for this role is $90,000 - $120,000 annually. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs.
 
 
 At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 ACKNOWLEDGMENT
 
 
 Please answer all questions carefully. By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson&rsquo;s California Resident Privacy Policy.
</div>

AI & Automation Engineer

CE Showroom Inc.

About the roleCE Showroom is a fast-growing, AI-driven e-commerce company based in Roseville, California. For over a decade we've sold consumer electronics, appliances, and home goods across Amazon, eBay, Walmart, Shopify, and our own store &mdash; and a small, sharp team runs that high-volume operation by leaning hard on automation and AI.Now we're turning the way we run our business with AI into a product. We're building an AI initiative &mdash; Seller Pilots &mdash; and we're hiring an AI Engineer at CE Showroom to design and build the autonomous AI advisor at the heart of it. To be clear: you'd be employed by CE Showroom; Seller Pilots is the project you'd help build.This is a full-time, on-site role in the Roseville / greater Sacramento area &mdash; we work together, in person, so you'll need to be local or willing to commute.What you'll build &mdash; an autonomous AI advisor that:- Connects to the data: our database, Amazon SP-API, MS SQL, advertising APIs, and other marketplace APIs (Amazon, Walmart, and more) to pull in everything about a seller's account, ads, pricing, and inventory.- Gathers the facts and asks the right questions: it talks to the user, asks clarifying questions before acting, and combines that with the data.- Makes recommendations grounded in the facts &mdash; sometimes presenting Option A vs. Option B and letting the user choose.- Lets the user stay in control: they can approve, ask for more detail, or pick an option.- Then executes: once the decision is made, the system makes it happen across the marketplace accounts.First focus is advertising automation, then price/inventory automation, then multichannel listing (pull product data from Amazon and Walmart and publish to Shopify and others). We prototype with Claude Code first, then build the proven system into the product.You're the right person if:- You know how to implement AI into a real business &mdash; figuring out how AI should plug into operations, data, and decisions, not just writing code. This is the heart of the job.- You've built and shipped real systems with LLM APIs (Claude, OpenAI, or similar) &mdash; things real users used, which you can explain in detail.- You can design the architecture for an autonomous, multi-step AI system (agents, tool use, RAG, evals) &mdash; not just prototype it.- You're comfortable wiring AI up to real APIs and databases (REST, SQL, SP-API or similar).- You can work on-site in the Roseville / Sacramento area (local or willing to commute).- A plus, not a must: a strong software-development background. AI tools handle much of the coding; what matters most is deep AI fluency.The deal:- Employer: CE Showroom, Inc. (Roseville, CA) &mdash; full-time, on-site.- Base: $80,000&ndash;$150,000 USD, by skill and what you've built.- Meaningful equity &mdash; real ownership, not a token grant.- Benefits: paid vacation, health / dental / vision insurance (we pay 50%), sick pay, paid holidays, performance bonuses, employee discount, and a retirement plan (IRA).- Small team, direct CEO access, and a real product you'll help build from the ground up.CE Showroom is an equal opportunity employer. We do not discriminate based on race, gender, age, religion, sexual orientation, gender identity, disability, national origin, or any other protected characteristic.Pay: $80,000.00 - $150,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Employee discount</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>This is a 100% on-site role in Roseville, CA (greater Sacramento area). Do you currently live within daily commuting distance and NOT require relocation from out of state? (Yes/No)</li><li>Have you built and shipped something using an LLM API such as Claude or OpenAI? Briefly describe what it did, how it connected to data or other systems, and whether real users used it. If you have not, write &quot;none.&quot;</li></ul>Ability to Commute:<ul><li>Roseville, CA 95678 (Preferred)</li></ul>Work Location: In person

AI Engineer - On-Site, Roseville/Sacramento CA (Claude/LLM)

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEFAR Labs is building FAR AI &mdash; a high-performance decentralized AI inference network that transforms the global computing landscape by turning consumer and enterprise GPUs into a unified AI engine. Following a successful alpha launch in internet cafes across the UAE, we are scaling infrastructure to onboard large-scale gaming cafe fleets and top-tier data centers worldwide.We&rsquo;re looking for an AI Automation Engineer (Agent Systems Builder) who can design and deploy multi-agent systems that operate across the company &mdash; from internal workflows to product-level automation.This is a hands-on role focused on building structured, reliable AI systems. You will turn LLMs into coordinated agents that can reason, take action, and operate within defined environments.03. WHO YOU ARE<ul><li>LLM Engineer</li><li>You understand how language models actually work &mdash; tokenisation, logits, prompting, and system behaviour.</li><li>Agent Systems Builder</li></ul>You&rsquo;ve worked with or built multi-agent systems and understand orchestration, roles, and control flows.<ul><li>Automation Thinker</li></ul>You design systems that take action &mdash; not just generate outputs.You can wrap agents into APIs, manage integrations, and handle async workflows.You understand access control, permissions, and how to prevent unsafe behaviour in agent systems.04. RESPONSIBILITIES<ul><li>Backend Engineer</li><li>Security-Aware</li><li>Prompt Engineering &amp; System Design</li><li>Design structured, multi-layered prompt systems with context management, self-correction, and reliability controls.</li><li>AI Hub Development</li></ul>Build and configure internal AI systems (Claude, GPT, open-source models) connected to company data, tools, and APIs.<ul><li>Multi-Agent Architecture</li></ul>Design and implement hierarchical agent systems (orchestrators, specialised agents, execution layers) with clear responsibilities and control flows.Integrate AI agents with internal systems &mdash; CRM, databases, messaging platforms, CI/CD &mdash; enabling real actions and workflows.Build and maintain tools that allow agents to interact with external systems (APIs, services, internal infrastructure).05. REQUIREMENTS<ul><li>Integration &amp; Automation</li><li>Tooling &amp; Execution</li><li>Strong understanding of LLM internals (tokenisation, logits, temperature, system prompts, RAG).</li><li>Experience building or working with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or custom systems).</li><li>Strong backend experience (Python or TypeScript).</li><li>Experience building APIs, handling async workflows, and integrating external systems.</li><li>Experience implementing function calling, tools, and agent execution workflows.</li><li>Understanding of prompt security, injection risks, and hallucination control.</li><li>Experience integrating AI systems into real business processes or products.</li></ul>06. NICE TO HAVE<ul><li>Experience building multi-agent systems in production.</li><li>Experience integrating agents with CRM, databases, or CI/CD pipelines.</li><li>Experience with Model Context Protocol (MCP) or similar tooling approaches.</li><li>Experience working in fast-paced or AI-first environments.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimization</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you're working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>08. HOW TO APPLYAs part of your application, please share:<ul><li>A diagram or description of a multi-agent system you've built (or would build).</li><li>An example of a complex prompt using tools/function calling.</li><li>Your approach to enforcing access control across agent systems.</li></ul>Application Question(s):<ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT)? (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+).</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul>Work Location: In person

AI Automation Engineer / Architect of Agentic AI (Automator)

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
CVS Health is seeking a Staff Software Engineer specializing in developing machine learning solutions using Agentic AI/ML serving as a leader and role model in engineering for both peers and clients.
The successful candidate will lead project teams working with a diverse range of technologies, including both legacy IBMi AS400 Series systems and advanced Agentic AI/ML frameworks.
This team is part of the very impactful Claims Adjudication team and this role will be instrumental in our leap to modern AI driven approaches.
**We will consider remote US for the right candidate
Key Responsibilities<ul><li>
Able to develop a vision and formulate implementation plans to achieve end goals, evaluating situations, decisions, and issues in the short, medium, and long term.</li><li>
Capable of breaking down complex problems, processes, or projects into manageable components for systematic exploration and evaluation.</li><li>
Design and implement complex software solutions for APIs, microservices, CI/CD pipelines, and real-time streaming on cloud platforms such as Azure or GCP.</li><li>
Conduct research on emerging technologies, design principles, and development frameworks to ensure software solutions remain current, innovative, and future-proof.</li><li>
Provide technical guidance in software design and development activities, ensuring clean, scalable, and maintainable code following best practices and design patterns.</li><li>
Oversee the lifecycle process&mdash;including design, analysis, review, and testing results&mdash;to ensure adherence to quality standards and to deliver high-quality products.</li><li>
Lead the design, development, and optimization of AI/ML models for various use cases, ensuring a seamless transition into modern technologies while maintaining robust legacy infrastructure.</li><li>
Perform model training, evaluation, and fine-tuning with consideration of constraints and opportunities posed by legacy architectures.</li><li>
Partner with teams across functions and provide expert solutions to multiple complex technical projects/initiatives using interlocking technologies.</li><li>
Quickly acquire domain knowledge and build subject matter expertise to advise and guide technical leads and peers.</li><li>
Establish and drive execution of technical direction, standards, guidelines, and methodologies, while advocating best practices.</li><li>
Work to improve existing test automation processes, enhancing efficiency and reducing manual intervention across both legacy and modern environments.</li><li>
Develop and refine strategic and enterprise-wide technical direction.</li><li>
Create or revise operating procedures relating to specific technologies or IS processes.</li><li>
Lead assigned team projects and mentor junior resources as needed.</li></ul> 
Required Qualifications<ul><li>
7+ years of experience as a Machine learning engineer or combination of machine learning and software engineering with 5+ years leading software development projects, including setting project goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers</li><li>
5+ years of Python programming with In-depth understanding of APIs and microservices-based architecture and Git and version control</li><li>
2+ years of experience in AI and agentic solution development, including: Designing and deploying intelligent agents and autonomous workflows, Integrating AI/ML models into cloud-native applications. Leveraging LLMs, vector databases, and orchestration frameworks to build agentic systems, Applying prompt engineering, retrieval-augmented generation (RAG), and multi-agent collaboration patterns</li><li>
5+ years of experience developing software</li></ul> 
Preferred Qualifications<ul><li>
10+ years leading concurrent technical projects in both legacy IBMi/AS400 or similar and emerging technologies</li><li>
Health care industry domain knowledge</li><li>
Experience with enterprise development tools and methodologies (XP, Agile), including DevSecOps and DataOps</li><li>
Experience integrating with legacy IBMi AS400 applications and developing roadmaps for application modernization</li><li>
Experience with RxClaim or other PBM adjudication systems</li></ul> 
Education
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field or equivalent experience. An advanced degree is preferred.
Pay Range
The typical pay range for this role is:
$118,450.00 - $260,590.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/08/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Staff Software Development Engineer (Agentic AI/ML)

Smart Working Solutions

<div><div>About Smart Working 
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn&rsquo;t just another remote opportunity - it&rsquo;s about finding where you truly belong, no matter where you are. From day one, you&rsquo;re welcomed into a genuine community that values your growth and well-being. 
 
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you&rsquo;re empowered to grow personally and professionally. 
 
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role 
We are hiring a highly experienced Anti-Bot Engineer to design, build, and operate large-scale, resilient web scraping systems that extract high-quality data from heavily protected and constantly evolving web environments.

This is a senior-level, hands-on engineering role focused on building production-grade systems that operate at scale under adversarial conditions (anti-bot systems, dynamic rendering, frequent structural changes, and high-volume data extraction). 
You will be responsible for architecting and maintaining scraping infrastructure that must remain reliable, observable, and adaptable in real time. The role requires deep technical maturity, strong systems thinking, and the ability to operate independently in complex, ambiguous environments.

This position is best suited to engineers who have already built and operated large-scale distributed systems in production for several years and are comfortable owning mission-critical data pipelines end-to-end.
</div>
<h3 class="jobSectionHeader">Responsibilities</h3><ul>
<li>Design, build, and maintain large-scale Python-based scraping systems targeting highly protected websites (including Google-like environments).</li>
<li>Architect resilient extraction systems capable of handling dynamic, JavaScript-heavy pages using browser automation and hybrid approaches.</li>
<li>Continuously adapt systems to frequent changes in page structures, request flows, and anti-bot mechanisms.</li>
<li>Build robust, production-grade data extraction pipelines with strong emphasis on accuracy, observability, and fault tolerance.</li>
<li>Implement advanced strategies such as proxy rotation, fingerprinting, session management, and request routing to ensure stability at scale.</li>
<li>Monitor system health, proactively detect anomalies, and debug complex production failures across distributed systems.</li>
<li>Optimise scraping infrastructure for performance, cost efficiency, and reliability at scale.</li>
<li>Collaborate with data engineering and product teams to ensure scraped data is structured, validated, and trusted.</li>
<li>Operate and improve systems running continuously in cloud environments.</li>
<li>Document system architecture, scraping logic, and operational procedures for long-term maintainability.</li>
<li>Contribute to improving resilience, automation, and adaptability in adversarial environments.</li>
</ul><h3 class="jobSectionHeader">Requirements</h3><ul>
<li>7+ years of professional software engineering experience, with a strong focus on backend systems, data engineering, or distributed systems.</li>
<li>Proven experience building and operating large-scale production web scraping systems.</li>
<li>Deep hands-on experience scraping Google or similarly complex, heavily protected / anti-bot environments.</li>
<li>Strong expertise in Python (or comparable production languages such as Go, Rust, or JavaScript).</li>
<li>Strong understanding of HTTP internals: headers, cookies, TLS, redirects, sessions, and browser networking behaviour.</li>
<li>Experience with browser automation frameworks such as Playwright, Selenium, Puppeteer, or equivalent.</li>
<li>Strong knowledge of HTML parsing, DOM traversal, and high-performance data extraction techniques.</li>
<li>Proven experience handling anti-bot systems, including rate limiting, CAPTCHAs, IP rotation, and fingerprinting.</li>
<li>Experience designing asynchronous and concurrent systems for high-throughput workloads.</li>
<li>Strong debugging skills across distributed, failure-prone production systems.</li>
<li>Experience running cloud-based systems at scale with strong operational ownership.</li>
<li>Comfortable working in highly adversarial and fast-changing technical environments.</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3><ul>
<li>Experience with Docker and Kubernetes in production environments.</li>
<li>Exposure to distributed task queues or large-scale job orchestration systems.</li>
<li>Experience with monitoring, anomaly detection, or data quality validation systems.</li>
<li>Background in search intelligence, advertising tech, or competitive intelligence platforms.</li>
<li>Experience building systems that operate against high-defence web environments at scale.</li>
<li>Familiarity with observability tooling and production-grade system monitoring.</li>
<li>Exposure to AI-assisted development workflows or agentic coding tools.</li>
</ul><h3 class="jobSectionHeader">Benefits</h3><ul>
<li>Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) \u007C 1:00 PM - 10:30 PM IST (Winter)</li>
<li>No Weekend Work: Real work-life balance, not just words</li>
<li>Day 1 Benefits: Laptop and full medical insurance provided</li>
<li>Support That Matters: Mentorship, community, and forums where ideas are shared</li>
<li>True Belonging: A long-term career where your contributions are valued</li>
</ul><div>
At Smart Working, you&rsquo;ll never be just another remote hire.

Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.

If that sounds like your kind of place, we&rsquo;d love to hear your story.
</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Anti-Bot Engineer (Remote, Full-Time), PK [HR177]

Notable

<div>Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.
We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.
Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.
Role Summary:
Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable&rsquo;s solutions. You&rsquo;ll translate ambiguous problem statements into clear, high‑quality technical plans and own delivery end‑to‑end &mdash; from ideation and requirements, to implementation, launch, and post‑delivery monitoring &mdash; with a focus on scalability, reliability, and measurable impact for our customers. You&rsquo;ll also leverage AI agents to increase day‑to‑day efficiency and share learnings that raise the overall quality bar across the engineering environment.<div></div> 
What You&rsquo;ll Do:<ul><li>
Develop and maintain LLM integrations to power AI features across solutions.</li><li>
Ensure scalability, reliability, and performance of AI features in production.</li><li>
Translate abstract requirements into structured, sound technical plans and milestones.</li><li>
Own implementations end‑to‑end: discovery/requirements design build launch post‑delivery monitoring/iterating.</li><li>
Evaluate and articulate implications and trade‑offs of technical choices.</li><li>
Leverage AI agents to improve development velocity and operational efficiency.</li><li>
Collaborate across engineering and adjacent teams to share learnings, improve processes, and continuously raise quality.</li></ul>
You&rsquo;re a Great Fit if:<ul><li>
Strong proficiency in Python for production software.</li><li>
Proficiency with Jupyter Notebook or an equivalent environment (e.g., JupyterLab, Databricks, Colab, etc.).</li><li>
Demonstrated experience building, integrating, and operating LLM‑powered features/services.</li><li>
Ability to decompose ambiguous problems, write clear technical plans, and execute with high ownership.</li><li>
Experience designing for reliability, scalability, and observability in production systems.</li><li>
You leverage AI Agents for day-to-day efficiency.</li></ul><div></div> 
Nice to Have:<ul><li>
Terraform and Helm Charts for infrastructure and deployment.</li><li>
Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Storage).</li><li>
Typescript for service or UI integrations.</li><li>
Postgres for application data modeling and performance.</li><li>
Experience with ML/AI platforms, agents, or orchestration frameworks.</li></ul>
#LI-TD1
We value in-person collaboration and connection. For Bay Area&ndash;based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.
Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be a recruiter from Notable from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.
Compensation Range: $170K - $205K</div>

AI Platform Engineer

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