Engineering Manager, GenAI Platform Job at Abridge (San Francisco)

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

GenAI Engineer

We are seeking a GenAI Engineer for project-based engagements to develop and imp...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience in AI Agent development and implementation
Strong knowledge of autonomous workflows for enterprise systems (SAP, Salesforce, ServiceNOW, Oracle) API exposure and integration for GenAI
Hands-on experience with GenAI secure API integration and data handling
Understanding of fully autonomous AI Agents and associated risk management planning
Proficiency in Apigee API management and gateway services
Experience exposing APIs from enterprise applications

Job Responsibility

Design, integrate and deploy fully autonomous AI Agents with enterprise platforms (SAP, Salesforce, ServiceNOW, Oracle) via APIs
Expose and manage APIs from global applications through Google Apigee
Develop fully autonomous agentic workflows, from MCP API exposure of enterprise solutions, through compliance and security checks, and API integration of genAI for E2E automation
Include a risk-management and guardrailing approach for highest autonomy AgenticAI

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Staff AI Innovation Engineer, Employee Experience

Architect the next generation of Airbnb’s internal operating system by designing...

Location

United States

Salary:

180000.00 - 225000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years in product management, AI engineering, and/or platform architecture, with hands-on experience building and launching AI/ML-powered products
Proven 0→1 builder with extensive experience developing GenAI prototypes, tools, and platforms from scratch
Ability to produce functional prototypes (using Claude Code or similar) within hours and stakeholder-ready demos within days
Strong systems-thinking skills with the ability to map complex workflows, diagnose root causes, and design buildable solutions
Expertise in prompt engineering, context orchestration, and adapting LLM behavior to different users, workflows, and decision contexts
Data-informed decision-maker who can define success criteria, measure ROI, and refine models and workflows
Skilled in communicating technical concepts to non-technical audiences
Highly collaborative, systems-oriented, and adept at connecting dots across people, tools, and processes
Strong visual and narrative communication skills (Figma, Miro, slideware)
Portfolio of prototypes or relevant 0→1 work preferred but not required

Job Responsibility

Translate employee and manager workflows into well-defined AI product opportunities
Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
Architect systems integrations across our HR tech stack (Workday, Greenhouse, Qualtrics, Airtable, RightAnswers, Asana, and more)
Lead discovery sessions with stakeholders to uncover automation and augmentation opportunities
Evaluate third-party AI tools and determine build vs. buy options
Design and execute fast-cycle pilots across knowledge management, decision support, communications, and resource planning
Define success metrics, measure impact, and iterate based on user feedback
Translate complex AI architectures into clear narratives that help stakeholders understand value and adoption paths
Ensure alignment with Airbnb’s privacy, security, and ethical AI guardrails
Continuously evolve EX’s AI strategy as organizational needs and technologies shift

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

GenAI Solutions Engineer

Be part of shaping the future of healthcare with AI. We’re at the beginning of a...

Location

Australia

Salary:

Not provided

Magentus

Expiration Date

Until further notice

Requirements

Minimum of 3-4 years of experience in a software or data engineering role
At least 1-2 years of focused, hands-on experience building with LLMs or Generative AI
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
Proficiency in Python and relevant libraries (e.g., Pandas, Pydantic) for data manipulation and processing
Experience with major cloud provider’s AI/ML offerings (AWS Sagemaker, Google Cloud AI Platform)
Solid understanding of algorithms, data structures, and software engineering fundamentals
Experience working in a collaborative software development environment using Git and agile methodologies

Job Responsibility

Develop AI-Powered Solutions: Design, build, and implement end-to-end solutions using Generative AI to address key business challenges, with a focus on intelligent data transformation and business process automation
Engineer Data-Centric Workflows: Architect and maintain scalable, robust workflows that ingest, process, and enrich complex data by applying AI and machine learning models
Oversee Application Lifecycle & Deployment: Own the full lifecycle of AI applications, from prototyping and development to deployment, scaling, and production management in a multi-cloud environment (AWS and GCP)
Ensure Solution Quality and Reliability: Establish and govern frameworks for validating the output of AI systems, defining and tracking metrics to ensure high standards of accuracy, reliability, and safety are consistently met
Drive AI Best Practices: Implement and manage MLOps/LLMOps principles to ensure version control, reproducibility, and continuous monitoring of deployed applications
Support knowledge-sharing and mentorship efforts within the team and across departments

What we offer

A chance to lead a flagship strategic initiative with executive visibility and long-term impact
The opportunity to shape new-to-market AI experiences in the healthcare space—one of the most meaningful, complex, and impactful industries
A supportive product-led culture where discovery, user value, and cross-functional collaboration are at the core of how we build
The ability to influence product, platform, and business strategy across the Magentus group

Senior AI Site Reliability Engineer

At Schwab, you will build a rewarding career while making a difference in the li...

Location

United States , San Francisco

Salary:

190000.00 - 270000.00 USD / Year

Charles Schwab

Expiration Date

January 20, 2026

Requirements

8+ years of software development or reliability engineering experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations
Bachelor’s degree in Computer Science or related field
5+ years of experience building and operating complex products from scratch and running them in production
3+ years of experience supporting applications that use Artificial Intelligence (AI) models to deliver real business impact
3+ years of experience building and maintaining data pipelines and infrastructure for large datasets
3+ years of experience with containers and cloud-native applications, and the ability to operationalize them in the public cloud with infrastructure as code
Experience implementing monitoring, alerting, and incident response for large-scale distributed systems
Proven track record in driving reliability, scalability, and performance improvements for production AI systems

Job Responsibility

Design, implement, and manage the reliability and operational excellence of GenAI applications and platforms
Work closely with architects, engineers, and business leaders to align reliability practices with Schwab’s enterprise strategy
Mentor and coach junior engineers, helping to build strong operational practices and foster a culture of continuous improvement
Lead by example in solving complex reliability challenges, advancing SRE standards, and driving rapid iteration from concept to production

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Bonus or incentive opportunities

Fulltime

DevOps Engineer

We are seeking a skilled and dedicated DevOps Engineer to join our team. The suc...

Location

India , Pune

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field
Proven experience as a DevOps Engineer, preferably with GenAI applications
Strong knowledge of Infrastructure as Code (IaC) tools
Proficiency in CI/CD methodologies and tools
Experience with cloud services such as AWS and Azure
Excellent problem-solving skills and attention to detail
Strong communication and teamwork skills.

Job Responsibility

Design, implement, and manage scalable, secure, and reliable cloud infrastructure on AWS and Azure to support GenAI applications
Automate deployment, monitoring, and management processes for GenAI applications to ensure high availability and performance
Collaborate with development teams to streamline CI/CD pipelines using tools such as GitHub Actions, enabling rapid and reliable deployment of new features and updates
Optimize cloud resources to ensure cost-effectiveness while maintaining performance and scalability
Implement and manage infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or ARM templates
Deploy and manage containerized applications using Amazon ECS and Kubernetes
Monitor system performance, troubleshoot issues, and implement solutions to prevent downtime and data loss
Ensure compliance with security best practices and policies across all cloud environments
Maintain and enhance GenAI applications on Retrieval-Augmented Generation (RAG) and Agentic platforms, ensuring they meet business requirements and performance standards
Collaborate with cross-functional teams to identify and implement improvements in system architecture and processes

Fulltime

Sr. Engineer, ML Platform

As the leading delivery platform in the region, we have a unique responsibility ...

Location

United Kingdom , London

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
Familiarity with SQL and data warehouse modeling
capable of managing complex data queries, joins, aggregations, and transformations
Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
Bachelor’s degree in Computer Science, Engineering, or a related field

Job Responsibility

Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Fulltime

Core Java Developer

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of relevant experience in Apps Development or systems analysis role
Strong interest in programming
Good problem-solving, analytical and debugging skills
Keen interest and awareness in using GenAI tools throughout SDLC
Desire to improve developer productivity continuously
Focus on fundamental concepts - SOLID principles, Data Structures and Algorithms, design patterns, and best coding practices
Good understanding of Java8+ with Multithreading, Collections, JVM, performance tuning, Spring framework
Experience with build tools, testing frameworks, DBs
Python knowledge is added advantage
Experience in Product Development, Platform Engineering, Data Engineering, Developer Platform and Tools

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals
Identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming
Ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Engineering Manager, GenAI Platform

Abridge

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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