Principal / Senior Full-Stack Engineer (AI Agents) Job at G2i Inc. (San Francisco)

Senior Principal Software Engineer

We are seeking a highly skilled Senior Full-Stack Software Engineer to join our ...

Location

United States , Home

Salary:

127584.65 - 251035.08 USD / Year

Arcfield

Expiration Date

Until further notice

Requirements

BS 10-12, MS 8-10, PhD 5-7
Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field
5+ years of professional software engineering experience, including significant full-stack development
Extensive hands-on experience with Python and/or Rust in production environments
Proven track record building, deploying, and scaling agentic AI solutions (LLM agents, RAG pipelines, etc.) using frameworks such as LangChain, LlamaIndex, or similar
Proficiency with modern frontend technologies (React, Redux, JavaScript/TypeScript, HTML/CSS) and contemporary backend architectures (REST APIs, microservices)
Strong understanding of cloud infrastructure and platforms (AWS, Azure, Kubernetes, Docker)
Experience developing and maintaining CI/CD pipelines (GitLab, Docker, Maven), and automated testing frameworks (pytest, JUnit)
Solid grasp of secure coding practices and DevSecOps workflows
Ability to obtain/maintain Secret Clearance

Job Responsibility

Design, build, and maintain full-stack features across the iMBSE platform, including user-facing web applications, orchestration APIs, and backend microservices
Develop and deploy agentic AI solutions, such as LLM-driven workflows, RAG (Retrieval-Augmented Generation) services, and autonomous chat agents
Collaborate cross-functionally with product owners, domain experts, and other engineers to deliver extensible and secure solutions supporting MBSE workflows
Contribute to system architecture, ensuring well-defined interfaces, low coupling, and future extensibility
Ensure compliance with DevSecOps best practices, leveraging CI/CD pipelines and automated testing, security scanning, and cloud-native tooling
Mentor junior engineers and champion engineering excellence through code reviews, design discussions, and knowledge sharing

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 Principal Software Engineer

We are seeking a highly skilled Senior Full-Stack Software Engineer to join our ...

Location

United States , Home

Salary:

127584.65 - 251035.08 USD / Year

Arcfield

Expiration Date

Until further notice

Requirements

BS 10-12, MS 8-10, PhD 5-7
Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field
5+ years of professional software engineering experience, including significant full-stack development
Extensive hands-on experience with Python and/or Rust in production environments
Proven track record building, deploying, and scaling agentic AI solutions (LLM agents, RAG pipelines, etc.) using frameworks such as LangChain, LlamaIndex, or similar
Proficiency with modern frontend technologies (React, Redux, JavaScript/TypeScript, HTML/CSS) and contemporary backend architectures (REST APIs, microservices)
Strong understanding of cloud infrastructure and platforms (AWS, Azure, Kubernetes, Docker)
Experience developing and maintaining CI/CD pipelines (GitLab, Docker, Maven), and automated testing frameworks (pytest, JUnit)
Solid grasp of secure coding practices and DevSecOps workflows
Ability to obtain/maintain Secret Clearance

Job Responsibility

Design, build, and maintain full-stack features across the iMBSE platform, including user-facing web applications, orchestration APIs, and backend microservices
Develop and deploy agentic AI solutions, such as LLM-driven workflows, RAG (Retrieval-Augmented Generation) services, and autonomous chat agents
Collaborate cross-functionally with product owners, domain experts, and other engineers to deliver extensible and secure solutions supporting MBSE workflows
Contribute to system architecture, ensuring well-defined interfaces, low coupling, and future extensibility
Ensure compliance with DevSecOps best practices, leveraging CI/CD pipelines and automated testing, security scanning, and cloud-native tooling (see “Our Tech Stack” below)
Mentor junior engineers and champion engineering excellence through code reviews, design discussions, and knowledge sharing

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

Principal Data Genai Platform Engineer - Senior Vice President

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
Strong experience with event-driven architectures and streaming platforms (Kafka)
Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
Exceptional leadership, communication, stakeholder management, and decision-making capabilities
Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems

Job Responsibility

Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations

Fulltime

Principal AI Factory Solution Product Manager

Product Manager - AI Factory Solution

Location

United States , Spring

Salary:

152000.00 - 349000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

July 27, 2026

Requirements

Bachelor's degree in Computer Science, Engineering, Business, or a related field
MBA or advanced degree preferred
10+ years of product management experience, with at least 5 years focused on AI/ML products or solutions
Demonstrated ability to build large-scale AI solutions that bring together hardware, software and services into a cohesive offering
Strong understanding of AI technologies, including AI/ML lifecycle (training, tuning, inferencing), large language models, computer vision, and cloud-based AI platforms (e.g., AWS SageMaker, Microsoft AzureML, Google AI)
Proven track record of launching successful AI products, with experience in agile methodologies and tools like Jira
Background in High Performance Computing (HPC) and experience blending it with AI workloads will be an advantage
Excellent analytical skills, with proficiency in data analysis and market testing
Outstanding communication and stakeholder management abilities, capable of presenting to technical and non-technical audiences up to the senior executive/SVP levels
Ability to thrive in a startup-like fast-paced, innovative environment with strong problem-solving skills

Job Responsibility

Define and drive the overall AI factory at-scale and sovereign solution vision, roadmap, and features, while closely aligning with customer needs and HPE strategic goals
Define and drive the key software components necessary for the solution, which may be a mix of HPE developed, commercial and community IP
Conduct market research, competitive analysis, and customer interviews to identify AI factory opportunities and validate solution ideas and software features in a quick turn manner
Collaborate with engineers, product managers and presales architects to translate requirements into technical specifications and prototypes
Oversee the software integration and end-to-end solution lifecycle, from feature ideation and MVP development to launch, iteration, and scaling
Monitor solution performance using KPIs like full-stack wins, product mix, customer satisfaction, and iterate offering based on data insights
Work with legal, finance, pricing and supply chain to setup and manage resale contracts for commercial SW
Partner with sales and marketing to develop go-to-market strategies, pricing models, support strategies and customer enablement materials
Ensure solution complies with ethical AI standards while ensuring highest level of data privacy and sovereignty (e.g., GDPR, CCPA)
Stay abreast of AI trends, such as generative models, agentic AI, and industry applications

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Principal AI Ops Architect

Scale’s rapidly growing Global Public Sector team is focused on using AI to addr...

Location

Qatar; United Kingdom , Doha; London

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector
Familiarity with international government security standards and the complexities of deploying sovereign AI
Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core
Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools
Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them
Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy
Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it

Job Responsibility

Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies
Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment
Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability
Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks
Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again
Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials
Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
2+ project experience with NLP and LLM-based systems.
Proficient coding skills in C#, Python, JavaScript, and React.

Job Responsibility

Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
Lead architecture/design reviews for major initiatives
drive alignment on system boundaries, contracts, dependency management, and resiliency.
Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.

Fulltime

New

Senior Software Engineer (Frontend Focused)

Location

United States , Seattle

Salary:

150000.00 - 200000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

6+ years building production web applications with React and TypeScript
Strong Next.js experience including server-side rendering
Solid REST API design thinking — resource modelling, error handling, pagination, versioning
Distributed systems and microservices experience — conceptual depth matters more than a specific language
SQL and relational database experience with genuine attention to domain modelling and schema design
Testing across unit, integration, and E2E levels
Product ownership mentality — you will be shaping scope and trade-offs, not executing pre-defined specs
US work authorised — no visa sponsorship available
Candidates must be located in either Seattle, Denver of SF.

Job Responsibility

Own full-stack feature delivery across a React/TypeScript frontend
Partner with the CTO and product stakeholders to define scope and requirements — this is a product ownership role, not a ticket-execution role
Collaborate closely with an in-house UX designer to implement user workflows cleanly and without unnecessary complexity
Design and review REST API contracts across internal and public-facing surfaces
Contribute to architecture and technology decisions alongside the CTO and a Principal Engineer
Work with agentic AI tooling as a genuine productivity multiplier in your day-to-day engineering

Fulltime

Corporate Internal Audit Manager

We are looking for an experienced Corporate Internal Audit Manager to strengthen...

Location

United States , Chicago

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Accounting or a closely related field
At least 5 years of public accounting experience focused on assurance engagements
Demonstrated experience auditing manufacturing clients is required
Strong knowledge of internal audit methodology, risk assessment, and audit program development
Experience supporting annual internal audit planning and interacting with audit committee stakeholders
Ability to evaluate controls in a decentralized operating environment and communicate findings effectively
Certification such as CPA, CIA, or a similar credential is a plus

Job Responsibility

Lead the planning and execution of internal audit engagements across multiple business units within a decentralized manufacturing structure
Develop risk-based audit programs that evaluate financial, operational, and compliance controls and identify opportunities for improvement
Oversee the annual internal audit plan, ensuring priorities align with organizational risk exposure and business objectives
Present audit findings, recommendations, and progress updates to senior leadership and the audit committee with clear, actionable guidance
Assess enterprise and process-level risks by reviewing control effectiveness and recommending practical mitigation strategies
Coordinate follow-up activities to confirm remediation efforts are completed and control gaps are addressed in a timely manner
Partner with cross-functional stakeholders to strengthen governance practices and promote consistency in internal audit standards across the organization

What we offer

Medical/Dental
401k
PTO

Fulltime

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Principal / Senior Full-Stack Engineer (AI Agents)

Job Description

Job Responsibility

Requirements

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What we offer

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