Role Description This role will give you the opportunity to design and shape the technical foundation of our Analytics & AI practice, working on high-impact client engagements across industries. As our Analytics & AI Architect, you will sit at the intersection of data engineering, analytics, data science, and AI — defining the standards, frameworks, and architectures that our teams build upon. What will you do? - ARCHITECTURE & DESIGN - Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines. - Define standards for data modeling, storage, ingestion, and transformation across client engagements. - Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring). - Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling. - TEAM ENABLEMENT - Define best practices and reusable frameworks for data engineers, analysts, and data scientists. - Act as a technical mentor and reviewer for cross-functional project teams. - Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects. - Contribute to internal knowledge base, toolkits, and delivery accelerators. - CLIENT ENGAGEMENT - Lead architecture workshops and discovery sessions with client stakeholders. - Translate business requirements into scalable, robust technical blueprints. - Present architecture decisions to both technical teams and executive audiences. - Support pre-sales and proposal efforts with technical scoping and solution design. - OTHER - Provide internal training and knowledge-sharing sessions with the team. - Support the Head of Practice on business development and internal capability initiatives. Qualifications - Master’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field. - Full proficiency in English + 1 additional language (French, Arabic, Spanish, German...). - 6+ years of technical experience in data architecture or a closely related field. - Proven track record in a consulting or multi-client services environment. Requirements - DATA ARCHITECTURE & PLATFORMS - Proven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift). - Strong command of SQL and at least one of Python, Scala, or Spark for data processing and transformation. - Experience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive, or equivalent. - Familiarity with streaming and real-time architectures (Kafka, Flink, Spark Streaming). - AI & ML INFRASTRUCTURE - Proven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML, or equivalent. - Experience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detection. - Exposure to GenAI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines). - DATA ENGINEERING & DEPLOYMENT - Proven hands-on experience with orchestration and transformation tools: Airflow, dbt, or equivalent. - Proven hands-on experience with container technologies: Docker, Kubernetes. - Proven hands-on experience with versioning software: Git, GitHub, GitLab. - Proven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google Cloud. - GOVERNANCE & STANDARDS - Knowledge of data governance frameworks: data catalogs, lineage tracking, access control, and data quality management. - Exposure to BI and data visualization platforms (Power BI, Tableau, Looker) and semantic layer design. - INTERPERSONAL SKILLS - Ability to step back, analyze complex problems, define architectural options, and drive decisions. - Strong ability to work and collaborate with a variety of stakeholders across technical and business functions. - Excellent communication skills with the ability to translate complex technical architectures into clear business implications. - High autonomy, attention to detail, and ability to manage multiple client engagements simultaneously. Benefits - A competitive salary. - A great working environment. - A steep learning curve with interesting and diverse topics to work on. - A healthy work-life balance. - Health insurance benefits. Company Description Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination). If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.

Title: Senior Software Engineer (AI Health-Tech SaaS) Location: New York City, NY Job Description: Location: Hybrid 3-days in office, New York City Job Type: Full-time Job Reports To: Tech Lead Salary Range: To be discussed Travel: 25%-50% About Jaan Health/Phamily Jaan Health is a leading AI-based care management company serving healthcare providers. For nearly a decade, the company has leveraged its easy-to-use, proprietary technology to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care to hundreds of thousands of previously underserved patients. Phamily, the company's core technology platform, has transformed chronic disease management with clinically tested AI and easy-to-use technology that enables physicians and care teams to offer high-touch, individualized patient care that has been proven to reduce investment in extra labor and the overall cost of care. Phamily helps ensure healthcare providers are compensated fairly for providing high-quality care between office visits, while improving the lives of patients with chronic diseases. Learn more at phamily.com. Job/Role Description: We are seeking entrepreneurial Senior Software Engineers to join our high-impact, fast-moving engineering team. You will help design, build, and scale core components of our AI-driven care management platform. This role is ideal for engineers who thrive in startup environments, enjoy rapid iteration cycles, and are motivated by building products that directly improve patient outcomes and healthcare delivery systems. You’ll work across the full stack, contributing to architecture decisions, product development, and continuous improvement of a complex SaaS platform used in real-world clinical settings. Key Responsibilities: - Architect and build full-stack feature end-to-end (Ruby on Rails, Python, SQL, JS/Vue/React) - Drive technical vision, code quality standards, and engineering best practices - Communicate complex concepts simply and help technical and non-technical teams align - Ship quickly in iterative cycles: prototype, launch, iterate, scale - Make pragmatic trade-offs to deliver value fast while maintaining product integrity - Use AI tools to speed up engineering output for yourself and your team - Build, maintain, and scale SaaS products that serve real patients and clinicians - Own migrations, services, APIs, and long-term maintainability - Design and implement high-quality, maintainable, and well-tested code - Contribute to system architecture and technical design decisions - Improve performance, scalability, and reliability of core platform systems - Work across backend, frontend, and infrastructure layers as needed - Continuously refactor and improve existing codebases Requirements: - 7+ years of full lifecycle software engineering experience - You’ve built, shipped, and maintained production SaaS systems for years - Strong architectural instincts and ability to coach others - Clear communicator with high signal and low ego - Startup or fast-paced environment experience - Clean high-quality production code - Good UX / product design sense - JavaScript, HTML, CSS - Vue.js / React / SPA (Single Page Apps) - Ruby on Rails / Python / Elixir - SQL / PostgreSQL / MySQL - TDD / RSpec / Playwright - AWS, GCP, Docker, Kubernetes - AI implementation - Healthcare, SaaS, or startup experience Preferred requirements: - Bonus: Healthcare, HL7/FHIR, data ingestion, ML/LLM interest - Entrepreneurial DNA: A 'builder' mentality with the ability to operate effectively in high-ambiguity environments where processes may not be fully fleshed out. Work style & logistics (drive home location and travel reqs here): We are a fast-growing, early-stage company with a bold mission and significant work ahead; every employee at Jaan Health must embody growth company DNA. This means you have proven success in a high-performing environment: high velocity, strong ownership, comfort with ambiguity, resilience, and a true growth mindset. You are both a playbook builder and executor, able to design scalable approaches for today while anticipating what the business will need tomorrow, and then follow through to deliver results. Our culture is built on five principles that shape how we work, lead, and grow: - Care: We put patients, clients, teammates, and outcomes first. - Curiosity: We ask better questions, challenge assumptions, and keep learning. - Clarity: We simplify complexity, communicate directly, and create alignment. - Co-Creation: We collaborate across teams, perspectives, and disciplines. - Craftsmanship: We execute with excellence, ownership, and continuous improvement. Our Compensation & Benefits - Competitive compensation based on experience and impact - Comprehensive medical, dental, and vision coverage for employees and dependents at a low cost - Generous Paid Time Off: up to 35 paid days off each year so you can recharge, recover, and give back, including: - 12 vacation days accrued annually for rest, travel, and personal time - Up to 9 sick/wellness days to prioritize your health and well-being - 12 paid company holidays throughout the year - 2 paid give-back days - HSA and FSA account options - 401(k) with company match after 6 months of full-time employment - 100% match on the first 3% contributed, and 50% match on the next 2% contributed - A collaborative, mission-driven team helping transform healthcare at scale If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You’ll join a smart, humble, and collaborative team dedicated to improving healthcare. Equal Employment Opportunity Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.

Role Description At wearemighty, we’re building at the intersection of AI, product, and real-world utility. Our core product, trysecretsauce.ai, is an AI-powered platform that helps businesses generate high-quality marketing content while staying fully aligned with their brand identity. We’re hiring AI Agent Engineers, engineers who work one layer above the model. This is not a traditional backend or ML role. You will not be training foundation models or tuning gradients. You will be building the systems around the model that make it actually useful in production, including: - Agent loops - Tool integrations - Context pipelines - Retrieval systems - Evaluation harnesses - Cost and latency layers The term “AI engineer” has become overloaded, so to be specific, we are not hiring an ML engineer. We are hiring someone whose craft is turning “the model works in a notebook” into “the product works reliably for thousands of users every day.” You will work closely with product and engineering teams to design and ship agentic systems that power real customer workflows end-to-end, with a strong focus on reliability, cost efficiency, and user experience. We are an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to building an inclusive environment. Your Responsibilities Will Include: - Designing and shipping production-ready AI agent systems that power workflows inside trysecretsauce.ai - Building and refining agent loops, including planning, tool use, reflection, and retry strategies - Owning prompt engineering and context engineering as core disciplines, including structured prompts, versioning, template libraries, and few-shot strategies - Architecting retrieval systems using RAG approaches, including hybrid search, reranking, chunking, and document pipelines - Designing memory systems, including short-term task memory and long-term user or agent memory across sessions - Building and maintaining evaluation harnesses, including benchmarks, A/B testing, golden datasets, and regression suites - Optimising cost and latency using techniques such as prompt caching, KV reuse, streaming, model routing, and response caching - Building agent infrastructure, including sandboxes, tool wrappers, MCP servers, permission layers, and observability - Taking features from prototype to production, including logging, error handling, rate limits, and fallback strategies - Collaborating closely with product and stakeholders to ship reliable, user-facing AI features - Contributing to system design decisions and engineering best practices Qualifications - Production experience building LLM-powered or agent-based applications - Hands-on expertise in at least three of the following: - Agent architectures - Prompting or context engineering - Tool use - Retrieval or RAG systems - Evaluation design - Memory systems - Prompt or response caching - Strong software engineering fundamentals, including API design, concurrency, testing, and debugging production systems - Fluency in TypeScript is required, and working knowledge of Python is preferred - A strong bias toward empirical, metrics-driven development, including evaluation, latency, and token cost optimisation - Comfort operating in the space between model behaviour and product UX Requirements - Experience designing multi-agent or long-horizon agent systems - Experience building model routing, prompt caching, or KV caching infrastructure - Experience developing evaluation platforms or eval-as-code tooling - Contributions to open-source agent frameworks such as LangGraph, CrewAI, AutoGen, or the MCP ecosystem - Experience with fine-tuning, RLHF, or distillation, which is useful but not required What This Role Is Not: - Not a research role. We are not training foundation models - Not a traditional ML engineering role. You will not be building training pipelines or classical ML systems - Not a pure backend role. This role sits between model behaviour and product experience What We Look For: - You have shipped real systems in production and understand reliability at scale - You care about performance, cost, and user experience equally - You take ownership and think in systems, not just features - You are pragmatic and comfortable working in fast-moving environments If you are interested in building production-grade AI systems that power real-world marketing workflows through trysecretsauce.ai, we would like to hear from you. Even if your experience does not match every requirement, we encourage you to apply.

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. We're building the observability layer for AI-assisted software development, measuring how much of an engineering org's code is actually written by AI coding agents, and attributing every line back to the work that produced it. You'll own major parts of a cross-platform endpoint agent end-to-end: architecture, implementation, and real-world deployment onto developer machines. What You'll Do - Build the core systems that detect and attribute AI-generated code at the line level across real Git workflows (rebases, cherry-picks, resets, and all) - Design reliable pipelines for capturing, classifying, storing, and shipping developer + agent activity from the endpoint - Work directly with Git internals (reflog, commit identity across history rewrites, blob-level attribution) to collect data without interrupting developers - Build and maintain integrations with coding agents (Cursor, Claude Code, Copilot, Codex, Gemini CLI, and more) via editor/CLI hooks - Own cross-platform behavior across macOS, Linux, and Windows What We're Looking For - Strong systems engineer - backend, OS internals, endpoint/agent software, or developer infrastructure - We use Go, but it's fine if that's not your background (what matters is comfort with concurrent, long-running, low-level software) - Experience building production systems that must be fast, reliable, and invisible to the user - High-agency, high-responsibility individuals with strong product intuition (you care how developers experience what you build) - Excited about developer tools and using data to understand how engineers actually work with AI coding agents - Bonus: Git internals, developer tools / dev infra, endpoint or monitoring agents (EDR, sync clients, telemetry agents), SQLite or embedded storage, or cross-platform native development Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .