Senior Staff AI Engineer Job at Teradata (California)

Senior Staff Engineer, AI

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the found...

Location

India

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Staff / Senior AI Product Engineer

The way software is built is changing, and fast! Engineers who embrace AI-nativ...

Location

Czechia , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Deep hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures
You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
You’re drawn to agent-native architecture and believe this is where software is heading. You’re excited to rethink codebases, APIs, and documentation so AI agents can reliably operate and scale
You rely on AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow — constantly experimenting, refining prompts, and pushing them to meaningfully increase your speed and output
Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
Able to lead complex technical initiatives end-to-end, raising the bar for architecture, quality, and engineering culture
Candidates must have the legal right to work in the EU

Job Responsibility

Building AI-powered product features
Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

What we offer

Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days for you to help causes close to your heart
Carrot Fertility Benefits
Free snacks, drinks, and yummy catered lunches
MultiSport card to access sports facilities
Flexible working hours and home office
Parental benefits

Fulltime

Staff / Senior AI Product Engineer

The opportunity The way software is built is changing, and fast! Engineers who ...

Location

Czechia , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Deep hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures
You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
You’re drawn to agent-native architecture and believe this is where software is heading
You rely on AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow
Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
Able to lead complex technical initiatives end-to-end, raising the bar for architecture, quality, and engineering culture

Job Responsibility

Building AI-powered product features
Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

What we offer

Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days for you to help causes close to your heart
Carrot Fertility Benefits
Free snacks, drinks, and yummy catered lunches
MultiSport card to access sports facilities
Flexible working hours and home office
Parental benefits

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

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

Senior Staff AI Research Engineer

We are seeking a Senior Staff AI Research Engineer to help make Campus the world...

Location

United States , New York City

Salary:

235000.00 - 300000.00 USD / Year

CampusGroup

Expiration Date

Until further notice

Requirements

Deep technical expertise in machine learning
Passion for developing novel systems that personalize and improve the student experience
Ability to lead research and build production-ready AI features
Ability to contribute to publications that advance the field of AI in education
Visionary builder who can connect advanced research to human-centered educational goals
Thrive in open-ended, research-oriented environments and take initiative to define impactful projects
Collaborative innovator who bridges frontier research with scalable engineering solutions
Care deeply about creating measurable impact in students’ learning outcomes
Passionate about experimentation, open science, and the potential of AI to transform education
Must already be authorized to work in the U.S. without requiring new H-1B sponsorship

Job Responsibility

Design and develop new AI systems that enhance the Campus learning experience
Run rigorous experiments to validate the effectiveness of these systems
Create new benchmarks and datasets for evaluating AI learning models
Publish your work in peer-reviewed journals and leading AI conferences
Collaborate with product and engineering teams to deploy models that improve real-world student engagement

What we offer

Equity grant
Medical, dental, and vision insurance
401(k) match
Fertility benefits via Carrot
Flexible Time Away + paid holidays
In-office lunches for our NY Office
Social events - happy hours, birthday celebrations, holiday parties, & more

Fulltime

Senior Staff Generative AI Engineer - VP

Senior Staff Generative AI Engineer– VP. At Citi, we are pioneering the future o...

Location

United States , New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services
Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK
Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel)
Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Job Responsibility

Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python
Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes
Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments
Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption
Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery
Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks
Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement
Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability
Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Access to AI-assisted development tools like Devin and Copilot
Learning resources including Udemy for Business and Pluralsight
Flexible Work Environment: hybrid working model (3 days in-office, 2 days home)

Fulltime

Senior Staff Software Engineer - AI

GEICO is seeking an experienced Engineer with a passion for building high-perfor...

Location

United States , Seattle, WA; Austin, TX; Palo Alto, CA; Chicago, IL; Dallas, TX

Salary:

110000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Experience building and deploying ML systems in production with cross-functional engineering teams
Fluency in at least two modern languages such as Python, Go, Java, C++, or C# including object-oriented design
Experience architecting multi-component ML platforms using open-source/cloud-agnostic components: Datastores: PostgreSQL, NoSQL (MongoDB, Cassandra, CosmosDB) Streaming: Kafka, Flink, or Spark Streaming
Experience with end-to-end ML lifecycle: version control, CI/CD, Kubernetes, testing, monitoring, and production support
Experience with cloud providers (Azure, AWS or GCP) in production ML environments
Experience with observability tools and distributed systems monitoring, logging, tracing, and root cause analysis
Experience building multi-agent systems using LLMs and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI)
Hands-on experience with RAG, semantic search, and vector databases (e.g., Milvus, pgvector, Qdrant, ElasticSearch)
Experience designing human-in-the-loop workflows and safety controls for autonomous systems
Strong architecture and design skills with ability to influence technical direction and roadmap

Job Responsibility

Design and build a multi-agent AI platform where specialized agents autonomously detect, diagnose, and resolve issues through agent-to-agent (A2A) collaboration
Develop intelligent agents using LLMs and agentic frameworks that coordinate detection, diagnostic, remediation, and knowledge tasks with minimal human intervention
Define agent interaction protocols, A2A communication standards, and evaluation frameworks for agent decision quality and autonomous action safety
Architect vector database solutions (Milvus, pgvector, Qdrant) for semantic search and RAG to enable context-aware agent decision-making
Build end-to-end ML pipelines for severity classification, anomaly detection, failure pattern recognition, and impact forecasting using observability data
Establish scalable orchestration infrastructure for multi-agent workflows with CI/CD, automated evaluation, canary releases, and rollback strategies
Implement monitoring for agent interactions, A2A communication patterns, decision quality, data drift, and system reliability
Lead technical architecture ensuring scalability, observability, and integration with existing alerting, logging, and monitoring systems
Define standards for agent safety, explainability, governance, and human-in-the-loop controls for high-impact automated actions
Partner with SRE, Product, and Engineering teams to translate reliability goals into measurable ML objectives and maintain pragmatic technical roadmaps

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

Senior / Staff Product Engineer (AI)

At Linear, we are on a mission to bring magic back to software. To empower produ...

Location

United States

Salary:

Not provided

Linear

Expiration Date

Until further notice

Requirements

Experience building and deploying AI systems to production
Work with product and design to prototype and iterate on intelligent workflows and user interactions
Design backend services to power natural language interfaces, smart suggestions, agentic workloads
Optimize prompts, fine-tune model behavior, and evaluate performance
Help to guide our agent platform
Contribute to the architecture for AI-integration infrastructure that’s reliable and privacy-aware
Tech: TypeScript and Node.js for backend services
GraphQL APIs and WebSocket-based real-time sync
Public and private AI models
temporal for async workloads

Job Responsibility

Build AI-powered product features that feel native, fast, and delightful to use
Work with product and design to prototype and iterate on intelligent workflows and user interactions
Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more
Optimize prompts, fine-tune model behavior, and evaluate performance
Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience as teammates
Contribute to the architecture for AI-integration infrastructure that’s reliable and privacy-aware

What we offer

Interesting and challenging work
Work-life balance
Competitive salary and equity
Employee-friendly equity terms (early exercise, extended exercise)
Paid lunch and coffee during workdays
Work remotely, no commuting to the office
Paid co-working space/desk at an office
Health, dental, and vision insurance (US)
Regular team events and off-sites
5 weeks of paid vacation

Fulltime

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Senior Staff AI Engineer

Job Description

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Requirements

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