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AI, ML, & Data Engineering

ADVANCE SOFTWARE ENGINEERING

AI, ML, & Data Engineering

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Job Title: Forward Deployed Engineer Salary: $180K - $200K + Equity Location: Bay Area, CA  A rapidly growing AI company is hiring a Forward Deployed Engineer to build, deploy, and optimize production-grade AI systems used by enterprise clients. This role combines deep technical engineering with strategic execution, you’ll work directly with customers to integrate large-scale ML systems, refine data pipelines, and implement solutions that deliver measurable business impact. You’ll operate across the full stack, from building scalable backend infrastructure to fine-tuning AI models and ensuring seamless deployment in enterprise environments. Beyond implementation, you’ll serve as a technical liaison between engineering, data science, and client teams, translating complex requirements into elegant, reliable systems that push the boundaries of applied AI. Responsibilities Design, build, and deploy scalable AI and data infrastructure supporting real-time personalization and analytics at enterprise scale. Collaborate directly with customer teams to understand technical requirements, architect integrations, and deliver tailored AI solutions. Work hands-on across backend systems, APIs, and ML pipelines, bridging model development and production deployment. Translate product and business objectives into actionable technical designs, ensuring reliability, performance, and maintainability. Contribute to core system improvements, model integration workflows, and continuous deployment processes. Act as a trusted technical advisor for customers, helping shape implementation roadmaps and best practices. Requirements 5+ years of software engineering experience, ideally in backend, infrastructure, or applied ML roles Proficiency in Python, with strong familiarity across modern ML and data tooling Experience deploying ML systems or LLM-based applications in production environments Strong understanding of cloud infrastructure and containerization tools Excellent communication skills and proven success in customer-facing or cross-functional roles Ability to thrive in a fast-paced, high-growth startup environment with high ownership and autonomy Benefits Equity Health, Dental, and Vision Insurance. 401(k) plan. Opportunities for rapid growth and high-impact work in the AI space.   Accessibility Statement Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Job Title: Data Infrastructure Engineer Salary: $240K – $280K + Equity Location: San Francisco, CA (Hybrid) A leading AI company developing large-scale training systems for multimodal data is hiring a Data Infrastructure Engineer to build and optimize distributed pipelines powering next-generation model training. In this role, you’ll design and operate data systems that handle massive structured and unstructured datasets, ensuring high-quality, scalable, and reliable data delivery for AI research and production. You’ll work across ingestion, transformation, and storage, collaborating closely with ML researchers to prepare and manage diverse datasets for pre-training and fine-tuning. This is an opportunity to own core data infrastructure end-to-end, shaping the backbone of advanced AI pipelines in a fast-moving, research-driven environment. Responsibilities Design and maintain distributed data ingestion and transformation pipelines for structured and unstructured datasets. Build scalable ETL/ELT workflows leveraging modern frameworks (Spark, Dask, Ray, or Flink). Architect and optimize data storage across cloud environments (AWS, GCP, Azure) and lakehouse systems (Delta Lake, Parquet, etc.). Implement validation, monitoring, and observability to ensure data quality and reliability. Partner with ML and research teams to support dataset preprocessing and scaling for training workflows. Use IaC and CI/CD tools (Terraform, Kubernetes, Airflow, Prefect, etc.) to create reproducible, automated environments. Requirements 5+ years of experience in data infrastructure or distributed systems. Strong programming skills in Python (plus SQL; Scala/Java/C++ a plus). Proven experience building large-scale data pipelines and orchestration workflows. Familiarity with unstructured data processing Experience with modern cloud and lakehouse architectures (e.g., S3, Databricks, Snowflake). Excellent problem-solving ability and comfort operating in fast-paced, collaborative startup settings. Benefits Startup Equity Health, Dental, and Vision Insurance. 401(k) plan. Opportunities for professional growth in a fast-evolving AI environment.   Accessibility Statement Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Job title: Senior DevOps Engineer Job type: Contract Contract Length: 6 initial months Rate: 200 per day Role Location: Fully remote The company: Signify Technology Job Requirements: Job title: Senior DevOps Engineer Job type: Contract Contract Length: 6 initial months Rate: 200 per day Role Location: Fully remote The company: Signify Technology Job Requirements: TECH STACK AWS (EKS/ECS, EC2, ALB/NLB, API Gateway, Lambda, S3/CloudFront, DynamoDB, ElastiCache, Aurora, MSK/Kinesis, OpenSearch, Route53, VPC, WAF/Shield, CloudWatch, X-Ray, IAM, KMS, Secrets Manager) IaC & CI/CD: Terraform, CloudFormation, Helm, Argo CD, Flux, GitHub Actions, Jenkins, GitLab CI, Docker Observability: CloudWatch, OpenTelemetry, Prometheus, Grafana, log pipelines Automation: Bash, Python; experience with Java build/release workflows Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here   Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here    

Job title: Full Stack Developer Job type: Contract Contract Length: 12 Months   Role Location: United Kingdom Client Industry:  Software Developer Role and Responsibilities: Independently manage and deliver technical projects end-to-end. Build high-quality solutions in Microsoft stacks, iOS, banking systems, and AI/ML integrations. Design, develop, test, and deploy enterprise applications leveraging Microsoft technologies. Build secure banking/fintech solutions aligned with compliance requirements. Develop iPhone (iOS) applications using Swift or Objective?C, integrating RESTful APIs. Integrate and deploy AI/ML components—especially NLP or recommendation systems. Job Requirements: Practical experience with Microsoft tools (e.g. .NET, Azure, Power Platform). Banking app development (secure workflows, fintech solutions). iOS app development expertise (Swift/Obj?C, iOS SDK, App Store). AI/ML integration proficiency. Highly Desired Cloud deployment experience (Azure and/or AWS). Backend development using Python, Java, C# or .NET. Database design and performance tuning (SQL/NoSQL). DevOps skills: CI/CD pipelines, Docker, Kubernetes. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here      

Job Title: Cybersecurity Expert Job Type: Permanent (B2B) Role Location: Remote - Must be based in Europe - otherwise will not be considered The Company: We are a fast-growing payments and blockchain startup delivering cutting-edge crypto payment solutions who are on a mission to revolutionize international business growth through innovative, secure, and borderless financial technologies.   Role and Responsibilities: You will play a key role in safeguarding the company’s systems, data, and transactions. You’ll oversee both cybersecurity strategy and IT infrastructure security to ensure the protection and scalability of our blockchain-based payment ecosystem. Cybersecurity Strategy & Implementation Assess the company’s current cybersecurity posture, identifying vulnerabilities and risks. Develop and implement a comprehensive cybersecurity plan for 2025. Define and enforce policies for security, compliance, and data management. Establish best practices for securing frontend and backend systems. Design and manage threat detection, incident response, and risk mitigation strategies. Ensure compliance with industry standards (GDPR, PCI-DSS, SOC 2). IT Administration & Infrastructure Security Manage access control policies for internal systems and cloud infrastructure. Support secure cloud environments (AWS, Azure) and assist with DevSecOps integration. Provide secure device management, VPN setup, and remote access solutions. Implement security best practices for blockchain applications and payments infrastructure. Job Requirements: Must-Have: Proven experience in cybersecurity within payments, fintech, or blockchain. Strong understanding of cybersecurity frameworks (NIST, ISO 27001, CIS Controls). Expertise in cloud security (AWS, Azure, GCP) and security automation tools. Proficiency in securing APIs, microservices, and cloud-native architectures. Experience with SIEM, IDS/IPS, and security incident management tools. Skilled in threat modeling, penetration testing, and vulnerability assessment. Knowledge of IAM, zero-trust architecture, and encryption methods. Familiarity with GDPR, PCI-DSS, SOC 2, and crypto security regulations. Understanding of blockchain security risks, smart contract vulnerabilities, and Web3 security. Nice to Have: Experience with Rust or TypeScript for security-related tasks. Knowledge of Kubernetes security, CI/CD pipeline protection, and DevSecOps principles. Familiarity with blockchain consensus mechanisms and cryptographic models. Experience with automation tools (Terraform, Ansible, Crossplane). Benefits: Competitive Compensation: Attractive salary package, bonuses, and benefits. Remote Flexibility: Work from Europe or Thailand, with adaptable working hours. Professional Growth: Access to continuous learning and development opportunities. Collaborative Culture: Work in a supportive and innovative environment where your ideas count. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Staff Backend Engineer – Generative AI Platform (Stealth Infra AI Scale-Up) Location: Onsite (Bay Area preferred) | Full-Time Compensation: $240-275K base + high start-up equity + full benefits package   About the Role Our client is building a next-gen platform at the intersection of generative AI, applied research, and real-world infrastructure. As a Staff Backend Engineer, you’ll join a high-caliber team of engineers, researchers, and systems experts working on foundational systems that support cutting-edge generative applications. You’ll focus on designing and scaling the backend infrastructure to support high-throughput, secure, and reliable AI systems across production environments.   Key Responsibilities Architect and build backend infrastructure that supports large-scale generative AI workloads and distributed applications Design and optimize APIs and microservices to serve real-time inference, model orchestration, and data flow at scale Own CI/CD pipelines, service monitoring, and incident response to maintain high system uptime and reliability Collaborate cross-functionally with applied ML, research, and product teams to translate technical needs into production-grade systems Implement data integrity, security, and access controls across infrastructure components Build and scale data pipelines capable of handling high-volume input and retrieval tasks across structured and unstructured sources Mentor other engineers and contribute to architectural decisions across the platform   Core Requirements   7+ years of backend engineering experience, ideally in high-performance, distributed systems environments Strong coding proficiency in Python and either Java or Go Deep experience with cloud-native architecture (e.g. Kubernetes, container orchestration, CI/CD, service meshes) Hands-on with one or more cloud providers (AWS, GCP, or Azure) — preference for GCP or Azure Proven track record building scalable infrastructure from the ground up (not just integrating into an existing stack) Familiarity with data modeling, security, and access control for sensitive or regulated data domains   Nice to Have   Experience with Langchain or similar frameworks for generative AI applications Exposure to vector DBs, pub/sub systems (Kafka, Redis Streams), or RAG infrastructure Background in building infra for domains with compliance or high-reliability requirements

Job title: IT Support Engineer Job type: Contract Contract Length: 3 Years Rate: €80 - €100 Role Location: Remote in Poland The company: SaaS company Role and Responsibilities: Providing 1st Line IT Support to customers for an industry leading SaaS company specializing within the Fraud detection environment Job Requirements: IT Support Engineering experience. Dealing with customer support tickets. Tier 1 & 2 tickets. SQL Experience & Excel Experience   Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.   We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.   Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. Role Location: On-site; Palo Alto, CA   The Company: A fast-growing AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes.   Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale.   Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.   We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.   Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Job Title: Staff Software Engineer Job Type: Contract Contract Length: 6–12 months (with strong potential for extension) Rate: Competitive hourly rate (USD) — based on experience Role Location: Remote (LATAM) — must be able to work PST hours The Company: A fast-growing AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.   We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.   Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Job title: Business Intelligence Manager Job type: Perm Salary:10000-120000 Role Location: Amsterdam The company:  We’re seeking a strategic and hands-on BI Manager to take ownership of our business intelligence function. You’ll lead the design, delivery, and optimization of our reporting and analytics capabilities — with a strong focus on Power BI as our enterprise reporting platform. You’ll also play a key role in building and managing a BI team, developing the skills, structure, and culture needed to scale insight delivery across the business. Role and responsibilities:   Leadership & Team Building: Recruit, develop, and mentor a high-performing BI team (analysts, developers, data visualization specialists). Foster a culture of collaboration, curiosity, and continuous improvement. BI Strategy & Delivery: Define and execute the BI roadmap in line with company objectives. Partner with business stakeholders to translate requirements into data-driven solutions. Power BI Ownership: Oversee the design, development, and maintenance of interactive dashboards and reports in Power BI. Establish and enforce Power BI governance, including workspace management, access control, and data model standards. Data Management: Collaborate with data engineering to ensure data sources are accurate, reliable, and optimized for reporting. Implement best practices around data visualization, storytelling, and performance optimization. Insight & Decision Support: Drive business performance by delivering actionable insights and KPIs to senior leadership. Champion data literacy and self-service analytics across teams. Job requirements: Proven experience in business intelligence, analytics, or data management roles. Deep expertise in Microsoft Power BI (DAX, Power Query, data modeling, and deployment). Strong SQL skills and familiarity with cloud data platforms (Azure, Snowflake, BigQuery, etc.). Experience in hiring and managing teams, ideally within a BI or analytics function. Strong stakeholder management and communication skills — able to bridge technical and business perspectives. A problem-solver who combines analytical rigor with creative insight. Degree in a relevant field (e.g., Data Analytics, Computer Science, Business Intelligence, or similar). Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here