Senior Software Engineer, AI Customer Interface Job at Braze (São Paulo)

Senior Software Engineer, AI Product

As a Senior Applied AI Engineer at Vanta, you will play a crucial role in shapin...

Location

United States

Salary:

207000.00 - 244000.00 USD / Year

Vanta

Expiration Date

Until further notice

Requirements

At least 7 years of industry experience as a software engineer
You’ve shipped LLM-backed products and have experience with prompting, RAG, and/or agent frameworks
You have experience designing, building, and scaling full-stack applications, including backend systems, APIs, and frontend interfaces
You have familiarity with TypeScript, React, and Node.js, or a willingness to learn
You have experience improving AI systems, creating eval sets, and driving quality hill-climbing
You have experience mentoring other engineers and collaborating with product and design
You have worked at rapidly scaling startups and large companies, especially with environments that prioritize a bias for action
You are action-driven, willing to roll up your sleeves and engage directly with users
You aren’t afraid to put on your product hat
While you bring strong opinions, you prioritize building a platform that meets users where they are

Job Responsibility

Work cross-functionally to design and implement AI-powered features to deliver customer value and integrate LLMs with Vanta’s existing products and systems
Instrument evaluations, guardrails, and monitoring, and review customer usage to continually improve quality
Collaborate with AI Platform engineers shaping foundational AI systems and tooling that accelerate product teams
Make pragmatic tradeoffs that consider business priorities, user experience, and a sustainable technical foundation
Mentor engineers, champion good technical and product instincts, and model a collaborative, high-ownership engineering culture

What we offer

Offers Equity
medical benefits
401(k) plan
other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits

Fulltime

Senior Software Engineer - Front End Developer

The candidate should be capable of working independently as a contributor to sof...

Location

United States , Home

Salary:

90570.00 - 178205.19 USD / Year

Arcfield

Expiration Date

Until further notice

Requirements

BS 5-7 Years, MS 3-5, PhD 0-2
BS in Software Engineering, Computer Science or related field
Minimum 5 years of professional experience
US Citizenship
Ability to obtain/maintain Secret Clearance

Job Responsibility

Web-based Front-End Application design and development for scalable cloud-native software solutions
User Interface (GUI) Design and Development for intuitive user experiences (UI/UX)
Software systems architecture and design: requirements analysis, architecture definition, design, development, integration, and test
Software development lifecycles for cloud-native web applications
Agile software development
Understanding of Systems Engineering processes, methods, and tools as applied to systems lifecycles
Digital Engineering methodologies and tooling
Collaborating with a fast-paced cross-functional team developing cloud, AI, and modern software solutions in an agile workflow
Specification, architecting, and development of web-based software applications that integrate with cloud-native AI/ML technology and pipelines
Designing, developing and deploying modern front-end applications and software application integrations

What we offer

Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Short Term and Long-Term Disability
Retirement and Savings
Learning and Development opportunities
wellness programs

Fulltime

Senior Software Engineer, CoreAI Workload Engines

The CoreAI Workloads team builds the foundational inference engines and APIs tha...

Location

United States , Redmond

Salary:

119800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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, Python, or equivalent experience.
Proven ability to design and operate large-scale, production inference services with high reliability and performance requirements, and to ship performance improvements safely via disciplined experimentation.
Strong skills in performance analysis: benchmarking, profiling, diagnosing regressions, and turning results into concrete engine/runtime changes.
Strong problem-solving skills and the ability to debug complex, cross layer systems issues.
Demonstrated technical leadership, including mentoring engineers, driving cross-team architectural alignment, and leveraging AI tools and AI-assisted workflows to accelerate engineering velocity and quality.
Hands-on experience with Kubernetes (building and operating services on k8s), including debugging production issues and designing platform abstractions (e.g., custom resources/controllers) and scheduling-aware deployments (e.g., node affinity, taints/tolerations, resource requests/limits).
Strong collaboration and communication skills, with the ability to work across organizational boundaries.

Job Responsibility

Optimize inference engines for OpenAI and open-source models by implementing and shipping performance/efficiency improvements across runtime, scheduling, and serving paths (latency, throughput, utilization, availability, and cost).
Run experiments end-to-end: formulate hypotheses, implement engine changes (including Python/PyTorch integration points where relevant), analyze results, and ship improvements behind guardrails.
Build and use experimentation capabilities for large-scale AI inference (experiment lifecycle, tracking, metric modeling, comparability standards, automated analysis) so the team can iterate quickly and safely.
Own serving availability and efficiency for Azure OpenAI Service workloads through tiered experimentation, lean segmentation, and multi-modal utilization across heterogeneous fleets—turning findings into shipped engine improvements.
Design and evolve inference serving architectures to improve utilization and latency using techniques such as disaggregated serving, multi-token prediction, KV offload/retrieval, and quantization—validated via staged rollouts and production guardrails.
Extend AI infrastructure abstractions to support elastic, heterogeneous inference engines reliably at scale (e.g., dynamic scaling across model families, modalities, and workload classes while maintaining isolation and SLOs).
Tune and scale inference engines across NVIDIA GPU generations (A100, H100, H200) for state-of-the-art OpenAI models, focusing on serving efficiency, utilization, and reliability (not hardware bring-up).
Partner with networking and storage teams to leverage high-performance interconnects (e.g., RDMA/InfiniBand-class fabrics such as RoCE over IB) for distributed inference, without owning low-level kernel/driver enablement.
Drive end-to-end features from design through production: observability, diagnostics, performance regression detection, and operational excellence for inference serving.
Influence platform architecture and technical direction across teams through design reviews, clear metrics, and technical leadership focused on experimentation velocity and production reliability.

What we offer

Benefits and other compensation

Fulltime

Senior Software Engineer - System Optimization

The Artificial Intelligence Frameworks team at Microsoft develops AI software th...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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++, 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.

Job Responsibility

Software development in C++, Python, and other languages for specialized accelerators and host systems
Software design, development and optimization to execute AI workloads at the cloud scale
Co-design with hardware partner teams on HW/SW interfaces
Design and code review of peer work

Fulltime

Senior AI Engineer

The Senior AI Engineer role at NTT DATA involves designing and implementing AI m...

Location

United States , Dallas

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience AI and related domains
Minimum 3 to 5 years of experience conceptualizing and architecting the target environment for AI solutions
Minimum 3 to 5 years of experience supporting professional services sales cycle including proposal development, RFP responses, and account expansion initiatives
Bachelors in Computer Science or equivalent work experience
5+ years experience in hands-on software development of highly technical products
Past experience in Software Development or other similar hands-on development roles at or above the level of Senior Software Engineer
Experience crafting and tailoring a message for potential customers, including executives
Degree in Computer Science or related field, or equivalent professional experience
AI-related experience
Experience with React, Typescript, and Go

Job Responsibility

Designing, developing, and implementing AI models
Analyzing and improving existing AI architectures
Researching and implementing new AI technologies and methodologies
Working with data scientists and other stakeholders to understand business needs and goals
Ensuring the AI systems are aligned with the company's business strategy
Providing expertise and guidance on AI capabilities and systems
Ensuring that all AI initiatives follow compliance and regulatory requirements
Collaborating with other teams to implement and improve AI functionality
Build the agent from scratch using product requirements
Develop the agent, testing different scenarios including knowledge retrieval and support journeys, and writing simulation tests

Fulltime