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Added 6 mins ago
Lead Applied AI Engineer
STR
Woburn, MA · Arlington, VA
As a Lead Applied AI Engineer, you will lead the technical development and delivery of RF AI/ML-based tools, algorithms, and software integrated with physical hardware, sensors, and…
Added 6 mins ago
Lead Applied AI Engineer
STR
Arlington, VA · Woburn, MA
As a Lead Applied AI Engineer, you will lead the technical development and delivery of RF AI/ML-based tools, algorithms, and software integrated with physical hardware, sensors, and…
Added 7 mins ago
Engineer, Software Engineering
Flagship Pioneering, Inc.
Cambridge, MA
FL103 is seeking an Engineer, Software Development to help design and evolve our biological research platform. The successful candidate will work with the computational modeling and…
Added 7 mins ago
RU
Site Reliability Engineer
Randstad USA
Plano, TX
- $59.75 to $69.75 USD / hour
- Manages the operational support and technical infrastructure for six enterprise applications, providing production support, incident management, application testing, and release…
Added 7 mins ago
A
Senior Technical Consultant - Forward Deployed Engineer, AI Security
AHEAD
Remote, United States
- $170,000 to $200,000 USD / year
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the…
Added 8 mins ago
Software Engineering & AI Intern
Leidos
Scott Air Force Base, IL
We are looking for highly motivated, driven, and capable candidates to join our GSM-O Global Automation and Intelligent Network Solutions (GAINS) Team! This summer, you will do more than…
Added 9 mins ago
A
Network Engineer
Atoms
San Francisco, CA
- $122,000 to $153,500 USD / year
Plan, design, and maintain wireless network infrastructure, optimizing coverage and capacity to meet user requirements.
Added 10 mins ago
Application Allowlisting Security Engineer
Apex Systems
CHICAGO, IL
Added 10 mins ago
Sr. Software Engineer (C++, CI/CD, Data Structures, Algorithms, OOD) Hybrid Chicago ONLY
FactSet Research Systems
Chicago, IL
Added 10 mins ago
Principal Engineer
Cadrex Manufacturing Solutions
Remote, United States
Cadrex is seeking a Principal Engineer who serves as the senior technical authority for the mechanical design, development, and industrialization of advanced data center rack systems, with…
Added 10 mins ago
Senior Electrical Engineering Project Discipline Lead
Jacobs
Chicago, IL
…such as artificial intelligence and the electrification of infrastructure expected to create exponential load growth for power utilities across North America. In response, Jacobs is…
Added 11 mins ago
Cloud Security Engineer
LucyRx Health Solutions, Inc.
Remote, United States
The Cloud Security Engineer designs, implements, and enforces cloud‑native security controls directly within Azure, with a focus on identity‑first security, workload protection, and secure…
Added 11 mins ago
R&
Project Coordinator
Roeslein & Associates
Evans, CO
- $69,729 USD / year
Our teams deliver fit‑for‑purpose oil and gas technology, data center infrastructure, and power generation technology, engineering, and manufacturing solutions from custom design and…
Added 12 mins ago
Software Integration Engineer II
Reflexive Concepts
Fort Meade, MD
…highly available Kubernetes clusters running on Linux-based infrastructure. The engineer will help ensure platform reliability, scalability, security compliance, and optimal cluster…
Added 14 mins ago
Senior Software Engineer/Developer
Na Ali'i Consulting & Sales, LLC.
United States
Nakupuna Companies is looking for a Senior Software Engineer/Developer to provide Naval Supply Systems Command (NAVSUP) Business Systems Center (BSC) contractor support services to support…
Added 14 mins ago
NS
Cloud Platform Engineer
NexTech Solutions LLC
Remote, United States
- $140,000 to $180,000 USD / year
The Cloud Platform Engineer is responsible for designing, implementing, maintaining, and optimizing enterprise cloud infrastructure across Microsoft Azure, Microsoft 365, and hybrid cloud…
Added 14 mins ago
Building Maintenance Technician
Mayo US
Rochester, MN
…include air handling equipment, fire alarm systems, building automation systems, fluid pumping for cooling and heating, security card access, refrigeration, freezer alarm systems boilers…
Added 15 mins ago
Intern: Manufacturing Engineer (Summer 2027)
Volvo Group
Hagerstown, MD
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a…
Added 16 mins ago
Server Virtualization Platform Operations Engineer
Eli Lilly and Company
United States
The Cloud and Connectivity organization is actively looking for a VMware ESX Platform Operations Engineer to join them. Do you like to solve challenges and have an interest in large scale…
Added 16 mins ago
Cloud DevOps & SRE Engineer
Zact Inc.
Remote, United States
…expanding our team and looking to hire a Cloud DevOps & SRE Engineer to drive our infrastructure automation and system reliability initiatives. This is an exciting opportunity to shape the…
Added 17 mins ago
Senior Cisco Identity Services Engine (ISE) Engineer
HEXAWARE
United States
Role: Senior Cisco Identity Services Engine (ISE) Engineer
Added 20 mins ago
I(
Database Application Engineer
IBR (Imagine Believe Realize)
Suitland, MD
- $110,000 to $130,000 USD / year
The Database Application Engineer will serve as the application team’s primary point of contact with the infrastructure DBA team. The Database Application Engineer will define application…
Added 20 mins ago
Senior Environmental Engineer
LaBella Associates
Brooklyn, NY
LaBella is seeking a Senior Environmental Engineer to help lead complex environmental investigation, remediation, and redevelopment projects while supporting the continued growth of our New…
Added 22 mins ago
AI/ML Application Developer
INFORMATION TECHNOLOGY STRATEGIES INC
Remote, United States
…OCI-native AI service implementation for financial reporting automation, user experience optimization, and operational efficiency gains across the DAI ERP environment. Develop the AI/ML and…
Added 24 mins ago
Senior Firmware Verification Engineer
Renesas Electronics
Austin, TX
Renesas Electronics America is seeking a Senior Firmware Verification Engineer to join the Infrastructure Power team. This role owns pre-silicon verification of embedded firmware used to…

TetraScience

Senior Software Platform Engineer, MLOps

Cambridge, MA, United States
San Mateo, CA, United States

No visa sponsorship is available for this position The salary range for this position is $170,000-$220,000 USD.

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Job details

Pay: No visa sponsorship is available for this position The salary range for this position is $170,000-$220,000 USD.
Posting language: English
Posted: Nov 10, 2026

Original job description

TetraScience is building the scientific data and AI cloud for biopharma. The platform is the innermost foundation for developing, delivering and operating our enterprise grade, secure, compliant Scientific Data and AI capabilities customers rely on. We are looking for a Senior Software Platform Engineer who works at the intersection of distributed systems and MLOps. You will build and run key parts of our AI and data infrastructure, which our customers build their science on and which every other engineering team builds against. You will work closely with Applied AI engineers, data engineers, and platform teams to deliver the cloud services and MLOps infrastructure behind production-grade AI/ML workflows. You will own major parts of the AI platform end to end, from design through production. You will work with the Lead Platform Engineer and Applied AI teams on how the pieces fit together, and help shape the platform’s direction through design reviews. The work covers the model and prompt lifecycle, evaluation and observability, tenant and data boundaries around prompts and retrieval, and the cost and latency controls that keep production AI economical at scale. This is a high-impact seat for an engineer who has shipped AI/ML infrastructure that real external users depend on, not only internal tooling. The model serving, MCP, and agent capabilities you build are used directly by scientists at the world's largest pharmaceutical companies, running against their own data under their compliance obligations. If that scope appeals to you, and you want to turn ambitious scalability and cost targets into working systems inside a regulated environment, we'd love to talk to you. What You Will Do

Design, build, and operate the services and APIs that let customers run models and agents against their own scientific data, and that Applied AI and data engineering teams build against internally.
Own the model and prompt lifecycle in your area across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving.
Build the inference path for real-time and batch AI workloads, including routing, batching, caching, concurrency control, capacity planning, handling of large binary inputs such as instrument images, and graceful degradation under load.
Integrate LLMs into production systems using retrieval-augmented generation (RAG), and build agent capabilities such as tool and function calling, MCP-based tooling, and agent runtimes.
Build security into the platform with our security team, including guardrails, prompt-injection and tool-abuse defenses, PII and PHI handling, and hard tenant data boundaries across prompts, retrieval, and tool calls.
Build the evaluation and quality tooling that makes AI shippable: offline and online eval harnesses, golden datasets, regression gates in CI, A/B and shadow deployment, and drift and hallucination detection in production.
Set up monitoring, alerting, logging, and distributed tracing for the services you own, and define SLIs and SLOs that make sense for systems whose outputs are probabilistic.
Build for the reproducibility and lineage a validated pharma environment requires: versioned data, code, prompts, and model artifacts, with an audit trail that holds up to customer and regulatory review.
Write infrastructure-as-code and deployment automation (CloudFormation, AWS CDK) for the services you own, working with the team that owns production deployments to support multi-tenant infrastructure, online upgrades, and on-demand compute.
Own production readiness for your services with Applied AI engineers, data engineers, and platform teams: performance, reliability, and cost of models in production, plus incident response and runbooks.
Take part in design reviews, write the design docs and technical documentation for your components, and mentor mid-level engineers.
Evaluate new frameworks, serving runtimes, and model providers, and bring clear build-versus-buy recommendations.

Requirements

7+ years of professional experience in software engineering and infrastructure engineering, with a track record of building and running distributed, cloud-native systems in production.
Experience taking technical ownership of a significant service or component, including design decisions on scalability, performance, and cost.
Hands-on experience building and maintaining AI/ML infrastructure in production, including model deployment and lifecycle management, for users outside your own team. Candidates whose experience is limited to building pipelines for their own team will not be a fit.
Hands-on experience taking LLM-based systems to production, including RAG architecture, retrieval and embedding design, prompt and model versioning, and tool or function calling. Prototyping with an SDK is not enough. We are looking for someone who has operated these systems under real traffic, real latency budgets, and real failure modes.
Experience building security into a multi-tenant platform, including authorization boundaries between tenants and handling of sensitive data such as PII and PHI, with awareness of LLM-specific risks such as prompt injection and tool abuse.
Strong coding skills in TypeScript and Python for building reliable APIs and backend services, with the judgment to review AI-generated code for correctness, security, and fit.
Production experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows.
Experience treating AI evaluation as a release gate rather than after-the-fact reporting, including eval harnesses, regression gates, and drift or quality monitoring for non-deterministic systems.
Experience designing APIs with REST and OpenAPI that are scalable, secure, versioned, and extensible.
Working knowledge of AWS and containerized workloads (for example Docker), and familiarity with infrastructure-as-code such as CloudFormation or CDK, with the ability to contribute to CI/CD pipelines and deployment automation.
Experience with observability and SLI/SLO practice for production systems, including monitoring, alerting, and distributed tracing.
Clear communication with customers and cross-functional teams, and the ability to influence technical direction on teams you do not manage.

Benefits

Competitive compensation
Stock options in a VC-backed Series C company
100% employer-paid benefits for all eligible employees and immediate family members
401(k)
Unlimited paid time off (PTO)
Flexible working arrangements
Company-paid Life Insurance, LTD/STD

No visa sponsorship is available for this position The salary range for this position is $170,000-$220,000 USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.

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More about this job

Skills

ML
Regulatory compliance
Data engineering
Databricks
Mlflow
AWS
Infrastructure as code
Incident response
Documentation
TypeScript
Python
Reporting
Docker
CI/CD
Communication skills

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