CrawlJobs Logo
Descript Logo Descript · IT - Software Development

Senior Software Engineer, AI Platform and Enablement

United States, San Francisco 180000.00 - 286000.00 USD / Year · Job Posted January 09, 2026
Apply Position
Job Link Share

Job Description

We're building a next-generation AI-powered platform and web application for creating audio and video content quickly and easily. This involves developing a revolutionary way to record, transcribe, edit, and mix audio and video on the web using state-of-the-art AI models—a challenge that requires solving complex technical problems. We're hiring a senior engineer to join our AI Platform and Enablement team. The ideal candidate thrives in a fast-moving, high-ownership environment and is comfortable navigating the ambiguity of bringing research work into an established product.

Job Responsibility

  • Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs
  • Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure
  • Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient
  • Optimize and scale our models and algorithms for efficient inference
  • Deploy, monitor, and manage AI models in production

Requirements

  • Experience in deploying and managing AI models in production
  • Experience with the tools of large volume data pipelines like spark, flume, dask, etc.
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes)
  • Knowledge of DevOps and MLOps best practices
  • Strong problem-solving abilities and excellent communication skills

Nice to have

  • Experience with generative AI models
  • Familiarity with audio and video processing
  • Knowledge of Python, C/C++, CUDA, and experience profiling GPU performance and distributed training runs
  • Experience with machine learning frameworks like PyTorch, TensorFlow or similar

What we offer

  • Generous healthcare package
  • 401k matching program
  • Catered lunches
  • Flexible vacation time
Descript - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Software Engineer, AI Platform and Enablement

8 matching positions

Senior Software Engineer, AI Platform

GoodLeap is a technology company delivering best-in-class financing and software...
Location
Location
United States , AUSTIN; SAN FRANCISCO; IRVINE; ROSEVILLE
Salary
Salary:
173000.00 - 200000.00 USD / Year
goodleap.com Logo
GoodLeap
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building and shipping scalable, robust backend services and APIs
  • Strong proficiency in Python and/or TypeScript
  • Solid understanding of distributed systems, service-oriented architecture, and event-driven patterns (e.g. Kafka, RabbitMQ, SQS)
  • Passion for software development, emerging technologies and culture of innovation
  • A collaborative mindset and interest in mentoring teammates and elevating team practices
  • Excellent communication and interpersonal skills
Job Responsibility
Job Responsibility
  • Build features and extensions to our agentic AI platform using scalable, robust, and AI-first software engineering practices
  • Design tools and infrastructure to enable teams at GoodLeap to easily build and enhance AI agents that empower homeowners, contractors, and operations staff
  • Work alongside a team of AI engineers, product managers, and data scientists to evaluate and improve our agent ecosystem
  • Collaborate with Staff engineers, product, architecture, and design leads to deliver highly-available, fault-tolerant products and services
  • Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs
  • Grasp both the technical and business perspective so you can help drive innovation
  • Work autonomously and be self-disciplined, requiring minimal supervision or guidance
  • Collaborate with other team members and coach more junior team members to grow both their technical skills and soft skills
What we offer
What we offer
  • May be eligible for a bonus and equity
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - AI Engineering and Productivity

The Role The AI Engineering and Productivity team in the Global Planning, Desig...
Location
Location
United States , Austin; Warren
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience
  • 6+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python , and preferably Angular
  • 3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets
  • Experience building or supporting data pipelines , ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark , or similar)
  • 3+ years of experience with Kubernetes/Docker, Quarkus , and cloud platforms such as Azure, AWS , or GCP
  • Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery
  • Hands on experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions)
  • Willingness and demonstrated ability to learn and apply AI concepts , including working with data and APIs that support AI/ML and LLM based solutions
  • Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions
  • Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders
Job Responsibility
Job Responsibility
  • Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams
  • Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL)
  • Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing
  • Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components
  • Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools
  • Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
  • Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques
  • Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction
  • Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices
  • Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment
What we offer
What we offer
  • Relocation benefits
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - AI Safety and Security

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Demonstrated technical depth with LLM-based systems—prompts, system instructions, agents/tools, RAG, embeddings—and experience building or securing AI copilots or agent-based products
  • Demonstrated record of successfully operating in highly ambiguous environments and integrating solutions into varied environments
  • Experience with cybersecurity workflows (alerting, triage, investigation, threat hunting, incident response) and familiarity with frameworks like MITRE ATT&CK, NIST, or OWASP for LLM applications
  • Exceptional written and verbal skills
  • adept at articulating business needs and driving alignment across engineering, research, and security teams
  • Designing, building, and operating scalable, highly available cloud services or distributed systems on platforms such as Azure, AWS, GCP, or comparable cloud environments, with production ownership and CI/CD pipeline integration
  • Applying distributed systems concepts such as concurrency, conflict resolution, and consensus algorithms to build resilient and maintainable back-end architectures
  • Building systems with emphasis on reliability, durability, and operational efficiency, including experience with live site operations, incident response, and performance optimization
Job Responsibility
Job Responsibility
  • AI Logging and Observability: Develop company-wide logging strategies and implementations, enabling reliable attack mapping and automated detections
  • understand the architecture and pipelines for existing logging, data storage, and observability systems
  • and determine what additional infrastructure should be built
  • Detection Engineering: Partner with AI Incident Response and Threat Hunting teams to create novel detection capabilities
  • build infrastructure that enables meta-cognition, mechanistic interpretability, and anomaly detection, to identify patterns of attack signatures at scale
  • Threat Intelligence: Deliver data integrations across multiple data sources and platforms
  • serve diverse stakeholder needs for threat intelligence
  • partner with data science to operationalize pipelines that aggregate and correlate multi-source signals
  • deliver actionable insights, trend analyses, and automated reporting integrated with detection and response workflows
  • Mitigations: Partner with AI Red Team, applied science, and security research to implement mitigation strategies against emerging attack techniques
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - Data Platform, AI Infrastructure

We are building a large-scale, productized data platform that powers critical in...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
  • Strong programming experience in Python
  • Experience building and operating large-scale distributed systems
  • Hands-on experience with: Backend services or APIs (e.g., FastAPI, Flask, or similar)
  • Cloud-based infrastructure (Azure, AWS, or GCP)
  • Monitoring and observability systems (metrics, logging, alerting)
  • Experience designing systems with reliability, scalability, and operational clarity in mind
  • Proven ability to own and deliver production systems end-to-end
  • Ability to break down ambiguous problems, ask the right questions, and execute effectively
Job Responsibility
Job Responsibility
  • Design, build, and operate core components of a distributed data platform, including: Orchestration systems (e.g., Airflow or equivalent)
  • Backend services and APIs (Python/FastAPI or similar)
  • Monitoring, alerting, and reliability systems
  • Own the end-to-end lifecycle of platform components - from design through deployment, scaling, and maintenance
  • Ensure systems meet requirements for availability, performance, and data reliability at large scale
  • Define and enforce standardized patterns for infrastructure, deployment, and observability across the platform
  • Partner with data engineering teams to enable efficient, reliable data processing workflows
  • Diagnose and resolve complex issues in distributed systems, including performance bottlenecks and failure modes
  • Contribute to infrastructure-as-code and deployment systems to support reproducibility and operational excellence
  • Drive continuous improvements in system robustness, cost efficiency, and operational clarity
What we offer
What we offer
  • Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
  • Fulltime
Read More
Arrow Right

Senior Principal Software Engineer ( Cloud Infrastructure and Platform Engineering )

Your Career At Palo Alto Networks, Secure Cloud and AI infrastructure is the fou...
Location
Location
United States , Santa Clara
Salary
Salary:
Not provided
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience
  • 9+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation
  • Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion
  • Experience building and scaling platforms that serve thousands of engineers in complex environments
  • Strong foundation in application and infrastructure security, including secrets management, supply chain security, and secure-by-default platform design
  • Recognized expertise in developer platforms, cloud-native infrastructure, container orchestration technologies (e.g Kubernetes) and CI/CD
  • Deep proficiency with a major cloud platform (GCP preferred), including IAM, managed databases, networking, and Workload Identity
  • Experience designing and maintaining Infrastructure as Code (e.g. Terraform) at scale, including module architecture and state management
  • Expertise in authentication/authorization systems: OAuth 2.0, OIDC, token lifecycle management, and zero-trust patterns
  • Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems
Job Responsibility
Job Responsibility
  • Define the Vision: Architect and own the technical roadmap for AI-enhanced developer tools and infrastructure in CIPE at Palo Alto Networks
  • Evaluate and Execute Solutions: Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience
  • Drive Organization-Wide Impact: You are a builder, so you won't just stop at ideation. Beyond concepts, ensure your builds show step-change improvements in key engineering metrics like including code velocity, review cycle time, test effectiveness, incident reduction, and overall feature launches
  • Lead Cross-Functional Initiatives: Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership
  • Enable Secure Innovation: Develop foundational AI platforms that empower teams to prototype, deploy, and scale threat-intelligent cloud features, embedding Palo Alto Networks' security natively
  • Serve as Technical Authority: Act as the go-to expert on AI-augmented cloud platforms, mentoring senior engineers and infusing industry-leading practices into our high-stakes ecosystem
  • Innovate at Enterprise Scale: Address intricate challenges in multi-cloud environments (AWS, Azure, GCP, and OCI) supporting thousands of microservices, secure workloads, and global threat detection pipelines
What we offer
What we offer
  • restricted stock units
  • bonus
  • Fulltime
Read More
Arrow Right
New

Senior Software Engineer, AI

We are a leading global provider of financial information services, insights, da...
Location
Location
United Kingdom , London
Salary
Salary:
60000.00 - 70000.00 GBP / Year
https://www.randstad.com Logo
Randstad
Expiration Date
July 10, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering
  • Advanced Python programming with strong backend development capabilities
  • Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration
  • Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration)
  • Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search)
  • Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders
Job Responsibility
Job Responsibility
  • Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations
  • Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value
  • Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance
  • Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems
What we offer
What we offer
  • Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time
  • Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers
  • Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks
  • Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment
  • Fulltime
!
Read More
Arrow Right

Agentic AI - Senior Software Engineer

Mastercard Foundry R&D is seeking a Senior Software Engineer to join the Agentic...
Location
Location
Ireland , Dublin 18
Salary
Salary:
Not provided
mastercard.com Logo
Mastercard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns
  • Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK)
  • Strong understanding of orchestration, tool-calling, context management, and AI system design trade-offs
  • Strong software engineering experience building scalable, maintainable production systems
  • Experience with React and/or Next.js
  • Strong backend engineering skills in Java and/or Python
  • Experience with developer tooling, automation, CLI-based workflows, and CI/CD
  • Familiarity with containers, cloud-native development, and service integration patterns
  • Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption
Job Responsibility
Job Responsibility
  • Build software, tooling, and platform capabilities that support Mastercard’s Agentic AI strategy
  • Design and implement AI-enabled applications, workflows, and developer-facing capabilities
  • Develop reusable services, patterns, and integrations for AI and agentic systems
  • Evaluate models, frameworks, and tools across quality, cost, latency, reliability, and maintainability
  • Contribute to new product and prototype development from concept through validation
  • Improve developer experience through automation, AI-assisted workflows, and platform thinking
  • Partner with product, engineering, and business stakeholders to turn ideas into working solutions
  • Advocate learnings, prototypes, and best practices across the organization
  • Fulltime
Read More
Arrow Right

Senior Software Engineer- AI

Are you looking for an opportunity to work with the latest Azure offerings and p...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in Software Development
  • Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
  • Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
  • Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
  • Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
  • Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
  • Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
  • Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
  • Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
  • Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures
Job Responsibility
Job Responsibility
  • Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
  • Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
  • Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
  • Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
  • Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
  • Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
  • Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
  • Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
  • Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications
  • Fulltime
Read More
Arrow Right