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

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 - 215000.00 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. 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

Assistant Engineering Manager

Assists department head in managing budget, capital expenditures, preventative m...

Location

Malaysia , Langkawi Pantai Tengah

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

High school diploma or GED
4 years experience in the engineering and maintenance or related professional area
technical training in HVAC-R/electrical/plumbing
OR 2-year degree from an accredited university in Building and Construction, Engineering, Mechanics, or related major
2 years experience in the engineering and maintenance or related professional area
technical training in HVAC-R/electrical/plumbing

Job Responsibility

Assists department head in managing budget, capital expenditures, preventative maintenance and energy conservation
Accountable for maintaining the building and grounds with particular attention towards safety, security and asset protection
Assigns, tracks and follows up on status of work assigned to staff and contractors
Helps to increase guest and employee satisfaction through effective communications and training
Supervises distribution of repair work orders
Ensures property policies are administered fairly and consistently
Assists in effectively planning, scheduling and evaluating preventative maintenance programs
Establishes and maintains open, collaborative relationships with employees
Monitors timeliness and quality of completion of repair work orders
Supervises Engineering and related areas in absence of the Director of Engineering

Fulltime

New

Managing Editor, Neon Squid

Neon Squid creates beautiful non-fiction books for children aged 5–14. We are lo...

Location

United Kingdom , London

Salary:

51000.00 GBP / Year

Pan Macmillan

Expiration Date

April 12, 2026

Requirements

Managerial skills: You must have experience of managing editors and editorial teams, and you must be able to work well with different personality types
Strong editorial skills: You will be responsible for the high editorial quality of our books
Proven experience: You must have worked in children’s non-fiction publishing, bringing creative ideas to life
Adobe InDesign: You must be able to work in the Adobe Suite as you will be doing some hands-on editing
Organisation: You must be able to demonstrate an ability to manage your workload and that of others, and be able to create book schedules
Creativity: We need lots of fun, creative ideas for how to make stimulating educational books for kids

Job Responsibility

Manage the editors: Guide them through the publishing process, helping them to achieve personal and company objectives
Edit: Ensure that the text in our books is to the highest possible standard and works for an international audience
Be a creative spark: Help us to come up with new ideas that we can add to our list, help the team find exciting authors suitable for our books and inject fun into books you review!
Collaborate with designers: Make sure the text and illustrations in our books complement each other
Assist sales and marketing teams: Liaise with other departments to ensure they have everything they need to make our books successful
Present: You will occasionally be required to present our titles to the sales teams

What we offer

28 days’ annual leave increasing with years of service + bank holidays
Generous pension scheme
Discounted private medical insurance
Group income protection scheme
Enhanced family pay and leave
Flexible working hours and summer hours (early finish on a Friday during summer months)
2 Volunteer Days per year
75% off all Pan Macmillan books and regular staff book sales (highly reduced rates)
Season ticket loan/advance
Cycle to work scheme

Fulltime

New

Senior Product Designer

The Foundational Product Experiences (FPX) design team at Zalando is responsible...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Experience designing and delivering robust and scalable customer experiences by partnering with stakeholders, engineers and other designers
In-depth knowledge and understanding of e-commerce best practices and web and app UI as well as UX patterns
Experience working with Design Systems and scaling design solutions
Strong collaboration and communication skills
Growth mindset and value experimentation
Advocate for accessible, inclusive design
Mentor others and raise the quality of work across the team

Job Responsibility

Contribute to the Zalando Product Design community and the larger European design industry by sharing best practices, mentoring and teaching colleagues, crafting best-in-class solutions, bar-raising in design reviews, and sparking inspiring conversations
Work with multidisciplinary teams, product designers, product managers, and engineers to help shape and help bring to life remarkable customer and partner journeys

What we offer

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available

Fulltime

New

Customer Service Advisor

We’re looking for a customer-focused Customer Service Advisor to support our Dee...

Location

Ireland , Dublin

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Demonstrable experience within a fast-paced customer service environment
Strong analytical skills and high attention to detail
Excellent communication skills, with the ability to build effective working relationships
High levels of organisation, with ability to prioritise effectively in a fast-paced operational environment
Excellent IT skills, with ability to work with multiple inhouse systems
Comfortable working to service levels/KPIs and maintaining a clear audit trail

Job Responsibility

Handle customer enquiries from both Deep Sea and Short Sea customers, via phone and email
Create and manage bookings and Bills of Lading in in-house CRM system
Coordinate import cargo release: verify documentation, confirm payments/credit status and obtain release authorisation
Calculate and raise charges accurately
Arrange inland transport when required
Manage delivery requests end-to-end
Liaise closely with our Port Operations teams, system providers and internal teams
Log, track and resolve cases in our inhouse CRM
Support compliant handling of specialist shipments
Contribute to continuous improvement by following SOPs, suggesting process enhancements and producing basic reports

What we offer

25 days annual leave (plus public holidays) increasing with length of service plus additional day over Christmas period
Opportunity to buy/sell annual leave
Discretionary annual bonus
Enhanced pension scheme up to 8.5% total contribution
Life assurance x3
Commitment to promoting awareness and understanding of Mental Health through our Mental Health and Wellbeing Charter
Private healthcare (LAYA) + Healthcare Cash plan, including an Employee Assistance Programme
Local and global development opportunities across 160 countries
Hybrid Working
Cycle to work scheme/ Season ticket loans

Fulltime

Sr. Machine Learning Engineer – Context Engineering

Geico

Location:
United States , New York City ▼
Palo Alto
Chevy Chase

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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