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

Sr AI Engineer

As a Sr AI Engineer on the IntentCX team, you will drive the optimization and or...

Location

United States , 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

competitive base salary
annual stock grant
employee stock purchase plan
401(k)
free year-round money coaches
medical insurance
dental insurance
vision insurance
flexible spending account
paid time off

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

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. Mgr, Data Science

The AI Hub within Global Information Systems (GIS) is a centralized, high-impact...

Location

India , Bangalore

Salary:

Not provided

Lam Research

Expiration Date

Until further notice

Requirements

Bachelor's or Master's in Computer Science, Engineering, or a related field, with 8+ years of deep, hands-on software/AI engineering experience, including time as a technical lead who delivers through direct contribution
Proven experience architecting and delivering enterprise-scale AI/GenAI solutions — including agentic frameworks, retrieval-augmented generation (RAG), and orchestration
Hands-on expertise building integrations and connectors to enterprise applications, with working knowledge of Model Context Protocol (MCP), APIs, and authentication patterns
Experience extending Microsoft productivity platforms — Microsoft 365 Copilot, Copilot Studio, or Power Platform — for enterprise users
A lead-by-doing mindset — comfortable being the most technical person on the team, setting direction by writing code and architecture, and mentoring engineers as a peer rather than a hands-off manager

Job Responsibility

Lead by doing — personally design, prototype, and build core platform components while guiding the India-based engineering team through hands-on technical direction, code reviews, and example
Drive AI solution architecture across the AI Hub — designing reusable, scalable patterns for agentic, RAG, and orchestration-based solutions on the shared platform
Build and maintain the integration 'plumbing' — connectors to enterprise applications, Model Context Protocol (MCP) servers, APIs, and data services that link the AI platform to Lam's business systems
Extend and operationalize enterprise productivity tools — making Microsoft 365 Copilot and Copilot Studio more capable and widely adopted across the larger user community through custom connectors, agents, and plugins
Partner with product managers, AI governance, and the full-stack team to translate business problems into production-grade AI solutions
Establish engineering best practices for quality, security, observability, and cost-efficiency across the team's deliverables
Collaborate across US and India teams to ensure a cohesive, follow-the-sun delivery model

Fulltime

Applications Development Sr Programmer Analyst - Assistant Vice President

We are seeking a highly motivated and experienced Principal Engineer to join our...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem
Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering
Proven experience developing and automating microservice integrations to support data-intensive applications
Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala
Strong SQL skills and experience with various relational databases
Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation
Excellent communication, collaboration, and problem-solving skills

Job Responsibility

Design, develop, and maintain scalable, enterprise-grade AI agents, supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices, PySpark, Kafka and Databricks ecosystem
Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture
Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency
Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines
Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency
Ensure data quality, integrity, and security throughout the entire data lifecycle
Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations

Fulltime

Sr. Data Scientist

Do you have a relentless passion for data and analytics and a desire to drive fu...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR equivalent experience

Job Responsibility

As an expert in data science, you will take on the most complex business problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in the context of customer, engineering, and business needs
You will build everything required to uncover business opportunities and generate actionable insights that move the needle
You will establish causality and conduct experiments to gain insights into quality, health of products, and customer usage
Additionally, you will lead initiatives in search relevance and evaluation, including corpus creation, metric design, and dataset development for diverse modalities, while fine-tuning foundational models to improve intelligent search experiences
You will engage with peers to produce clear, compelling, and data-backed hypotheses and insights which are actionable and influence product and service improvements—crafting the experience millions of customers have with Windows
You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results
Through your analysis and research, you will curate and maintain Key Performance Indicators which show trends towards achieving a business goal
You will learn and excel in ways to find patterns in the data that are harder to detect but can lead to achieving our business objectives
Your analysis will not only show us what we're doing right or wrong in our current methodology, but also what customer segments and strategies we should invest more in, and how, for achieving and exceeding our goals

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

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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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