Senior Data/AI/ML Software Engineer

Location: Remote (US Only) or Hybrid (San Francisco Bay Area)

Employment Type: Full-time

Salary Range: $150K - $300K (Varies by level and location)

We are building a cutting-edge Clinical Data Intelligence platform that automates complex, low-level cognitive tasks involving clinical data and knowledge. We are seeking a highly experienced Senior Data/AI/ML Software Engineer to design, implement, and improve the core components of our system, leveraging advanced AI/ML/NLP techniques to dramatically increase efficiency in healthcare.

This role requires expertise across software engineering, AI/ML, and data engineering, with a focus on building data-intensive systems that empower clinicians and improve healthcare operations.

What You'll Do:

CTO/Engineering Lead - Solana ZK Computation Framework

Location: Remote - North America/Asia preferred - Not a must though

Compensation: $200K - $225K

We are building the first Solana-native verifiable computation framework designed to accelerate the adoption of ZK technology and enhance Solana's vision for Internet Capital Markets. Our platform allows developers to outsource complex computations off-chain while generating cryptographic proofs that are verified on-chain. We provide a suite of developer tools and a prover network, currently supporting the RISC Zero zkVM. We are seeking a talented CTO/Engineering Lead to build and scale our engineering team.

As the technical leader, you will be critical in helping us shape the future of verifiable computation on Solana, ensuring we develop the most performant, scalable, and decentralized computation network. You will own the technical roadmap, culture, and architecture, driving our mission to add safety, verifiability, and trustlessness to the Solana ecosystem.

Key Responsibilities:

Senior/Lead Backend Engineer - FinTech/Crypto

location: Remote - Fully remote across Europe - they can do B2B or hire through EoR.

compensation: $115K - $130K

We are seeking a Senior/Lead Backend Engineer to join our team dedicated to revolutionizing the FinTech and crypto industries. You will be a pillar of our engineering team, working directly with the product team to solve complex banking and crypto problems. This role requires an obsession with robust architecture, efficiency, and resilience, and a commitment to delivering the most elegant solutions and the best product for our customers.

This is a fast-paced, high-impact role where your speed, ability to deliver, and capacity for elegant problem-solving will be critical. You will be responsible for building the core services that drive our new paradigm in finance.

What you’ll be working on:

Location: San Francisco, CA (Hybrid - 4 days/week in-person)

Compensation: $125,000 - $200,000 (Base Salary) + Equity Participation

We are a rapidly growing, well-capitalized health tech company pioneering the use of Generative AI and Voice Agents to transform patient communication. Our platform has already handled hundreds of thousands of patient interactions across over a hundred clinics, and we are scaling fast. We are looking for a product-minded Senior Software Engineer to build and scale the intelligent systems that make exceptional healthcare accessible anytime, anywhere.

As a Senior Software Engineer, you will play a critical role in developing our AI-powered communication platform, working alongside world-class engineers and founders. You will have a high degree of autonomy and be involved in key product decisions from the ground up.

Key Responsibilities:

Senior Infrastructure Software Engineer

Location: Hybrid in Miami, Florida

Compensation: $200,000 - $250,000 (Base Salary) + Competitive Equity

We are the world's leading AI medical information platform, backed by top-tier investors and trusted by healthcare professionals at over 10,000 care centers worldwide. Our mission-critical platform powers medical AI used by healthcare providers globally. We are seeking a Senior Infrastructure Software Engineer to architect and scale our infrastructure ecosystem in a demanding, rapid-iteration environment.

As a key member of the Core Engineering team, you will have significant autonomy to make architectural decisions and drive initiatives across service reliability, data pipelines, and security for our large-scale medical AI platform.

Responsibilities:

Senior Data/AI/ML Software Engineer

Location: Hybrid (San Francisco Bay Area) or Remote (US Only for exceptional candidates)

Compensation: $150,000 - $300,000 (Varies based on level and location) + Equity

We are a pioneering Clinical Data Intelligence platform that leverages cutting-edge AI, Machine Reading, and Knowledge Graph technology to automate cognitive tasks involving clinical data. Our solutions directly empower clinicians, researchers, and care coordinators to improve efficiency, reduce frustration, and enhance patient care. We are seeking a Senior Data/AI/ML Software Engineer to build and scale the core components of our mission-critical platform.

You'll be responsible for designing, implementing, and improving data-intensive systems that automate the extraction and synthesis of health information. Your work directly impacts applications used by clinicians every day.

What you'll do:

Software Engineer (Early Team Member)

Location: San Francisco, CA (On-site)

We are a rapidly growing, well-funded startup building an innovative AI-powered productivity tool for professional teams. We help users capture, organize, and utilize insights from their daily conversations, making every meeting more valuable. You'll be joining a small, high-impact team of experienced engineers as employee #5 and play a crucial role in shaping our product and technical foundation.

This is an end-to-end engineering role where you will take ownership of features from conception to deployment. We're looking for a highly motivated and quality-focused individual who takes pride in their craft.

What You'll Do:

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!

Core Responsibilities

• Design, develop, and maintain data pipelines to support ETL processes.
• Ensure data quality and integrity across various data sources and systems.
• Collaborate with cross-functional teams to identify data requirements and create data models.
• Utilize big data technologies for large-scale data processing.
• Monitor and troubleshoot performance issues related to data processes.
• Stay updated on the latest technologies and best practices within the data engineering field.

Requirements

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking a highly experienced and technically proficient MLOps Architect to lead the design, development, and implementation of our next-generation machine learning platforms. This role requires a unique combination of deep technical expertise in MLOps, a strong background with cloud technologies, and the ability to effectively manage complex client relationships. The ideal candidate will be a strategic thinker who can translate business needs into scalable and robust MLOps solutions.

Responsibilities: