Sr. Machine Learning Engineer – Context Engineering Job at Geico (New York City)

Sr. Ai Engineer

We’re looking for a Sr. AI Engineer to lead the evolution of T-Mobile’s Agentic ...

Location

United States , Overland Park

Salary:

133100.00 - 240100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ yrs developing and deploying machine learning models, particularly in the context of AI-driven customer service automation
4+ yrs experience with advanced AI techniques such as prompt engineering, fine-tuning, and creating AI tools and workflows
4+ collaborating with cross-functional teams to integrate AI systems into production environments
Proficiency in Python and AI development frameworks for building scalable AI applications
Experience with operational excellence practices and observability tools (e.g., Weights & Biases, Splunk, Datadog) for monitoring, logging, and troubleshooting AI systems in production
Experience with project management tools and agile methodologies (e.g., Jira, Azure DevOps) to plan, track, and deliver AI initiatives efficiently in cross-functional environments
Experience in LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini)
Experience with AI orchestration tools (e.g., LangChain, LlamaIndex, vector databases for retrieval augmented generation)
Hands-on knowledge of function calling and API-based reasoning models (e.g., using structured outputs to drive automated workflows)
Familiarity with RAG pipelines and vector database retrieval for augmenting AI responses

Job Responsibility

Builds agentic AI systems that accomplish complex tasks by invoking AI models as well as internal and third-party tools using APIs, ensuring seamless data flow in production environments
Optimizes performance of agentic AI systems through innovative techniques such as prompt engineering, fine-tuning and reinforcement learning using T-Mobile's customer interaction data
Develops AI tools, workflows, and middleware to enhance model capabilities, such as structured reasoning, multi-step task execution, and improved contextual memory
Implements retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data
Collaborates in a highly matrixed environment with backend engineers, business experts and conversation designers to ensure AI-driven enhancements are effectively integrated into production environments
Tracks success metrics that aligns with business requirements and continuously evaluate and improve model quality based on those metrics
Develops internal tooling and automation to streamline AI deployment, evaluation, and self-improvement mechanisms
Monitors real-world AI performance and proactively iterates on model behavior based on live interaction data
Stays up to date with latest LLM advancements in prompt design, prompt optimization, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits

Fulltime

Sr. AI Engineer

Lead the evolution of T-Mobile’s Agentic Next Best Action (ANBA) capabilities—po...

Location

United States , Overland Park; Frisco; Bellevue

Salary:

133100.00 - 240100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ yrs developing and deploying machine learning models, particularly in the context of AI-driven customer service automation.
4+ yrs experience with advanced AI techniques such as prompt engineering, fine-tuning, and creating AI tools and workflows
4+ collaborating with cross-functional teams to integrate AI systems into production environments
Proficiency in Python and AI development frameworks for building scalable AI applications.
Experience with operational excellence practices and observability tools (e.g., Weights & Biases, Splunk, Datadog) for monitoring, logging, and troubleshooting AI systems in production.
Experience with project management tools and agile methodologies (e.g., Jira, Azure DevOps) to plan, track, and deliver AI initiatives efficiently in cross-functional environments.
Experience in LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini)
Experience with AI orchestration tools (e.g., LangChain, LlamaIndex, vector databases for retrieval augmented genetation).
Hands-on knowledge of function calling and API-based reasoning models (e.g., using structured outputs to drive automated workflows).
Familiarity with RAG pipelines and vector database retrieval for augmenting AI responses.

Job Responsibility

Builds agentic AI systems that accomplish complex tasks by invoking AI models as well as internal and third-party tools using APIs, ensuring seamless data flow in production environments
Optimizes performance of agentic AI systems through innovative techniques such as prompt engineering, fine-tuning and reinforcement learning using T-Mobile’s customer interaction data
Develops AI tools, workflows, and middleware to enhance model capabilities, such as structured reasoning, multi-step task execution, and improved contextual memory.
Implements retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data.
Collaborates in a highly matrixed environment with backend engineers, business experts and conversation designers to ensure AI-driven enhancements are effectively integrated into production environments
Tracks success metrics that aligns with business requirements and continuously evaluate and improve model quality based on those metrics
Develops internal tooling and automation to streamline AI deployment, evaluation, and self-improvement mechanisms.
Monitors real-world AI performance and proactively iterates on model behavior based on live interaction data.
Stays up to date with latest LLM advancements in prompt design, prompt optimization, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK

What we offer

annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays

Fulltime

Sr. Software Engineer - Applied AI

GEICO is seeking an experienced Sr. Software Engineer to join our Unified Commun...

Location

United States , Palo Alto

Salary:

80000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering or applied machine learning experience
1+ years working with Generative AI or LLM-based systems in production
Strong experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Demonstrated experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation features
Proven track record building scalable, resilient, secure, and maintainable systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to work deeply with engineers, product managers, and domain experts to co-create solutions
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
History of delivering measurable business outcomes with AI solutions
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems
Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants
Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability
Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs
Mentor and upskill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance
Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges
Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams
Experiment and evaluate rigorously: Run end-to-end experimentation, including hypothesis definition, measurement, validation, and iterative improvement in production environments

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer

This position will design and build intelligent AI agent systems, LLM-based appl...

Location

United States , Dallas

Salary:

Not provided

JLL

Expiration Date

Until further notice

Requirements

4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them
Proficient in developing, deploying, and orchestrating multi-agent AI systems
Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

Job Responsibility

Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications
Provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration
Develop and deploy agentic AI solutions that can autonomously perform complex business tasks

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

Sr Cloud Solution Architect

As a Cloud Solution Architect aligned to the Azure AI platform for Microsoft's C...

Location

United States , Multiple Locations

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Information Technology, Engineering, Business or related field AND 4+ years’ experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting OR equivalent experience
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
4+ years experience working in a customer-facing role (e.g., internal and/or external)
4+ years experience working on technical projects
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following: Deep Domain Expertise in Azure AI Areas: Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Azure OpenAI and CoPilot OR hands-on experience working with the respective products at the expert level
Expertise with Azure AI Search and/or Vector Indexes, Azure Document Processing and /or equivalent OCR technology
Programming Languages and Integration: Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Azure Container Apps, Docker, API Management)
Architecting Enterprise-Grade Solutions: The ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc
Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments

Job Responsibility

Play a pivotal role in the AI Factory, providing technical enablement, operational support, and strategic engagement across customer projects
Understand customers' overall data estate, business priorities, and IT success measures
Innovate with AI solutions that drive business value
Facilitate scalable delivery through strong technical program management utilizing a factory model/approach, driving program awareness and demand across the regional operating units
Attend in-flight project status meetings to monitor progress and identify support needs
Engage directly with complex or non-standard customer use cases beyond existing accelerators
Participate in intake reviews for milestone sizing, objection handling, and technical scoping
Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment
Gather insights from customers and partners
Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments

Fulltime

Sr. Product Manager - Web Personalization (Agentic Web)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, technical product management or related experience OR equivalent experience
3+ years technology/process improvement experience
8+ years in web personalization, SEO/AEO, or digital experience roles, with demonstrated ownership of roadmaps and measurable outcomes
Understanding of information architecture, modular content systems, funnels, attribution constraints, and Core Web Vitals
2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
Experience with content modeling, metadata/taxonomy design, and modular design systems that support dynamic assembly at scale
Understanding of privacy, consent, and data minimization principles for personalization, measurement, and AI-assisted experiences

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale
Run AI discovery (AEO) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO, content, and engineering as answer engines change
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals
Ensure personalization platform reliability: Define SLAs, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve

Fulltime

New

Mobile QA Engineer

We are looking for an experienced Mobile QA Engineer who enjoys working on criti...

Location

Netherlands , Amstelveen

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

5+ years of IT experience within Agile/Scrum/DevOps environments
Strong experience as a Mobile QA Engineer
Experience testing native and/or hybrid mobile applications
Hands-on experience with mobile automation frameworks such as Espresso and/or XCUITest
Experience testing within CI/CD pipelines
Understanding of backend systems, APIs, and data flows
Experience with tools like Proxyman, Charles, Postman, and WireMock

Job Responsibility

Define and execute test strategies for mobile payment flows and backend integrations
Build and maintain automated tests for mobile applications
Validate app behaviour across different devices, OS versions, and releases
Support a “shift left” quality approach within development teams
Improve testing processes, tooling, and quality metrics
Ensure compliance with security, regulatory, and audit requirements
Work closely with developers, analysts, and DevOps engineers

Fulltime

New

Manager, Store in Store

This role is essential for managing retail operations within partner locations t...

Location

United States , Lawton

Salary:

46800.00 - 84450.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

High School Diploma/GED (Required)
2-4 years - Management experience in retail sales
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Lead and develop the sales team to achieve customer engagement and sales performance targets
Manage store operations including opening, closing, and adherence to operational standards
Coach and provide feedback to team members to improve customer interactions and sales skills
Maintain knowledge of products, services, promotions, and ensure team compliance with corporate communications
Build and sustain partnerships with store-in-store partner leadership and sales teams to drive customer outcomes
Also responsible for other duties/projects as assigned by business management as needed

What we offer

medical insurance
dental insurance
vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
paid holidays
paid parental and family leave

Fulltime

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Sr. Machine Learning Engineer – Context Engineering

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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