4 open positions available
Design and build agentic workflows and background automation services using Python on Azure, collaborating with a remote team. | Strong Python fundamentals, experience with agentic systems, API integrations, and familiarity with relevant frameworks and tools like FastAPI, Pandas, Redis. | About PharmaForce PharmaForce is a leading provider of innovative pharmacy solutions, specializing in 340B Third Party Administration (TPA) and Pharmacy Benefit Management (PBM) services. We leverage cutting-edge technology and industry expertise to help healthcare providers, payers, and patients navigate the complex landscape of pharmacy management. Our mission is to enhance patient care and access to medications by optimizing pharmacy programs across the spectrum. At PharmaForce, we foster a culture of innovation and collaboration, continuously striving to develop solutions that make healthcare more accessible and affordable for all. Position Overview We're hiring a strong Python engineer to join a small, fast-moving team that designs, builds, deploys, and iterates on agentic systems that power both user-facing chat experiences and background automation across our product portfolio. The Work • Design and build agentic workflows for chat experiences and asynchronous background processes • Choose and apply the right techniques for prompting, tool use, orchestration, memory, and evaluation • Write high-quality, production-grade Python • Iteratively build, test, deploy, and operate services on Azure • Work closely with a small, fast-moving, fully remote team The Bar • Strong Python engineering fundamentals, grounded in a solid computer science foundation: data structures, control flow, state management, concurrency, and performance trade-offs • Hands-on experience designing, building, and experimenting with core components of agentic systems—tools, retrieval-augmented generation (RAG), API integrations, sub-agents, orchestration techniques, and graph-based or state machine architectures • Familiarity with context engineering in agentic workflows, following industry developments, and the ability to learn the art and science as you go • Working knowledge of FastAPI, Pydantic-AI, Pydantic, Pandas, and Redis or similar libraries, frameworks, and toolkits • Skilled at leveraging AI-augmented coding tools (Cursor, Claude Code) as force multipliers— must demonstrate that you're an active orchestrator, reviewer, and iterator, not a passive accepter of outputs • Experience with observability tools like Logfire for monitoring, debugging, and explaining outputs • Understanding of how to evaluate AI outputs—both manual and automated techniques, across different models, and tracking how outputs change over time • You've built something real that we can look at and talk through—school, personal, or commercial work all count. What matters is that you can clearly explain how you structured things and why you made certain design decisions • Comfortable operating in ambiguity without heavy process or rigid specs Nice to Have • Hands-on experience with Azure or similar cloud infrastructure • Exposure to non-LLM ML (e.g., regression, classification, time series) How We Work • Fully remote • Guided by Agile Manifesto principles, not ritualized Agile • Strong bias toward working software, fast feedback, and continuous improvement • Minimal meetings, high trust, high ownership • Travel 1–2 times per year We care far more about your drive and demonstrated knowledge than where you have or haven't been.
Design and build scalable, high-performance server-side systems and data pipelines in a fintech environment. | Extensive experience with Kotlin or Java, Spring WebFlux, PostgreSQL, AWS, Docker, Kubernetes, and distributed system design. | Location: Remote Type: Contractor About Scanz Scanz has been building real-time trading technology for nearly two decades, powering serious traders around the world. We specialize in complex, high-performance systems that operate at scale in the fintech and capital markets space. At Scanz, innovation is grounded in education, curiosity, and collaboration. We foster a culture of continuous self-improvement and actively encourage out-of-the-box thinking. Our distributed teams work closely together to build the next generation of financial software used by traders of all experience levels—from industry professionals to first-time investors. The Role We’re looking for a Senior Backend Developer to join our engineering team and help design, build, and scale robust server-side systems and data pipelines. You’ll work primarily with Kotlin and Spring WebFlux in a highly concurrent, event-driven environment processing millions of operations per day. Strong Kotlin experience is preferred, but we’re equally open to seasoned Java developers who are motivated and able to transition quickly to Kotlin. This is a core role with real ownership: you’ll help shape architecture decisions, performance strategy, and system reliability in a production-grade fintech platform. What You’ll Do Design and implement server-side services using Kotlin, Java, and Spring WebFlux Build and maintain fault-tolerant, high-throughput data pipelines Develop and maintain high-performance APIs Collaborate closely with frontend engineers to integrate user-facing features Contribute to PostgreSQL schema design and optimization Improve system throughput and reliability through profiling, tuning, and performance testing Scale services horizontally in a cloud-native environment Integrate performance and reliability checks into CI pipelines Participate in weekly standups, code reviews, and architectural discussions What We’re Looking For Strong proficiency in Kotlin and/or Java Solid experience with Kotlin coroutines and flows Deep understanding of Spring WebFlux, Reactive Streams, and backpressure Experience building distributed, fault-tolerant systems Strong problem-solving and analytical skills Comfortable working asynchronously across time zones Excellent communication skills (Slack, Loom, async collaboration) Hands-on experience with: PostgreSQL AWS and cloud-native architectures Docker and Kubernetes Strong grasp of the testing pyramid (unit, integration, E2E) Willingness to actively participate in code reviews and technical discussions Backend Tech Stack Kotlin, Java Spring WebFlux, Ktor Server Kotlin Coroutines RSocket Ktor Client kotlinx.serialization Quartz Kotest, JUnit Gradle Frontend Tech Stack Kotlin Multiplatform React (Hooks) TypeScript SharedWorker NPM Gradle Infrastructure & Tooling AWS (including S3) Docker & Kubernetes Prometheus & Grafana Jenkins GitHub
Assist in training large language models by reviewing, critiquing, and improving code snippets, and providing detailed explanations. | 3+ years of professional software engineering experience in Python, strong code review skills, attention to detail, and excellent written communication. | Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: • Compare & rank multiple code snippets, explaining which is best and why. • Repair & refactor AI-generated code for correctness, efficiency, and style. • Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need • 3+ years of professional software engineering experience in Python (Constraint programming experience is a bonus, but not required) • Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly. • Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. • You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need • No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. • No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Python. Logistics • Location: Fully remote — work from anywhere • Compensation: From $30/hr to $70/hr, depending on location and seniority • Hours: Minimum 15 hrs/week, up to 40 hrs/week available • Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!
Design, build, and maintain backend services with Node.js + Nest.js and frontend applications with React + Next.js while collaborating with product and design teams. | 5–7 years professional experience, strong JavaScript/TypeScript with Node.js + Nest.js, React + Next.js proficiency, AWS experience, and US location required. | Description: • Design, build, and maintain backend services using Node.js + Nest.js (primary), and support services in Express and Python where needed. • Build and maintain frontend applications in React + Next.js. • Work with AWS cloud services (RDS, ECS, CloudWatch, version control) to deploy and monitor applications. • Collaborate closely with product and design to deliver new features end-to-end. • Ensure code quality, testing, and best practices across multiple backends. • Troubleshoot performance bottlenecks, optimize services, and improve system scalability. • Contribute to architectural decisions as the company scales its engineering. Requirements: • 5–7 years of professional software engineering experience. • Strong expertise in JavaScript/TypeScript with Node.js + Nest.js on the backend. • Proficiency with React + Next.js on the frontend. • Experience working with AWS services: RDS, ECS, CloudWatch, version control. • Solid understanding of building and scaling distributed systems. • Python development experience (nice-to-have). • Previous startup or fast-growth company experience (nice-to-have). • Familiarity with compliance, finance, or enterprise SaaS (nice-to-have). • Must be located in the United States (Remote - USA only). Benefits: • Impact: Shape the core of an industry-transforming platform. • Growth: Work with modern technologies across multiple backends. • Culture: Collaborative, high-performing team with startup energy. • Remote-first: Flexibility to work from where you are most productive. • Compensation: Competitive package (~$110K) aligned with experience.
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