Staff Engineer

Staff AI Engineer - Agentic AI Systems

As a Staff AI Engineer, you will play a key role in designing and delivering hig...

Location

India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India | Pune, Maharashtra, India

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or equivalent from a recognized institution
8+ years of experience in backend services, distributed systems, or data platform development
Strong proficiency in Java, Go, or Python for service development
Deep understanding of design principles, distributed system patterns, and service architecture
Hands-on experience designing and developing RESTful APIs
Experience with SQL and NoSQL databases and data modelling
Strong debugging, problem solving, and troubleshooting skills
Experience with modern containerization and orchestration tools such as Kubernetes
Knowledge of public cloud platforms
Experience with AI productivity tools (e.g., GitHub Copilot)

Job Responsibility

Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features
Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
Work with SQL and NoSQL databases to implement efficient data models and service access patterns
Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
Use AI powered engineering tools to improve development quality, speed, and productivity
Mentor engineers, supporting them in technical planning, implementation, and best practices
Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure
Write unit and integration tests and participate in code reviews to uphold engineering excellence
Investigate production issues, ensuring timely and effective solutions

Fulltime

Staff ML Engineer - Applied AI

Applied AI is a horizontal AI team at Uber partnering with product and platform ...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience in machine learning or software engineering, with a proven record of delivering ML solutions to production
Strong knowledge of machine learning, deep learning, and exposure to generative AI techniques (e.g., transformers, LLMs, diffusion)
Experience designing and scaling ML systems or platforms, including training pipelines, serving infrastructure, and model lifecycle tooling
Fluency in ML frameworks (e.g., PyTorch, TensorFlow, JAX) and development in Python and/or scalable backend languages (e.g., Java, Go)
Excellent collaboration and communication skills with the ability to work across teams and functions

Job Responsibility

Design and implement ML-driven systems that power core Uber experiences, with a focus on scalability, reliability, and performance
Lead the technical execution of key projects involving classical ML, deep learning, and generative AI technologies (e.g., LLMs, multimodal models)
Collaborate closely with product, data science, and infrastructure teams to develop AI solutions from ideation through production deployment
Contribute to and influence the technical direction for Applied AI, particularly around system design, model architecture, and infrastructure decisions
Champion engineering best practices in ML development — including experimentation workflows, model versioning, evaluation, monitoring, and responsible AI
Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar

Fulltime

Staff Engineer-Applied AI

At Barclays, we don’t just adapt to the future, we create it. As a Staff Enginee...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
Fluent in Python or Java or GoLang programming language and frameworks
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
Familiarity on working with MCP and A2A protocols
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
Strong understanding of AI implementation in software development and legacy code transformation
Experience in developing APIs and integrating LLM models into software applications
Ability to work on system design from ideation through completion with limited supervision

Job Responsibility

Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains
Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols
Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems
Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times
Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders, including senior leadership
Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization
Analyze and interpret data to evaluate model performance and identify areas of improvement
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Health and wellness access to wellness rooms, gyms and mental health support
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Senior Staff Engineer

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

Location

United States , Chevy Chase

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and specialization with at least two modern languages such as Java, Python, GO, or C# including object-oriented design
8+ years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production
A track record of turning research ideas into working products with measurable outcomes
Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design
Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features
Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design

Job Responsibility

Focus on multiple areas and provide leadership to the engineering teams
Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience
Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production
Lead through technical influence, providing technical direction and mentorship on AI architecture, LLMs, agent-based development, experimentation, and deployments across multiple teams
Set standards for AI reliability, interpretability, and governance tailored to application domains and regulatory constraints
Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in application domains
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Utilize programming languages like Python, C#, Java or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services

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

You will join a Research and Development (R&D) team that will give you the oppor...

Location

United States , Santa Clara

Salary:

104000.00 - 169500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree with 2+ years of experience or a Master's degree earned recently or anticipated to be earned within the next 12 months in Machine Learning, Computer Science, Cybersecurity, Data Science, Artificial Intelligence, Software Engineering or something similar
Strong programming skills in either Python, Java or C/C++
Familiarity with Networking fundamentals (for Embedded & Distributed Systems positions)
An understanding of the fundamentals of Computer Science
Exemplify strong initiative and ability to work independently with limited direction
Ability to work cross functionally with other engineers, researchers and Product Managers
Excellent communications skills and an interest in Cybersecurity.

Job Responsibility

Collaborate with cross-functional teams to design, develop, and deploy software solutions with agility and rapid iteration
Use and experiment with AI-assisted development tools (e.g., Cursor, Claude Code, internal agents) to boost productivity and improve code quality
Help define and evolve new engineering practices that leverage AI for code generation, testing, documentation, refactoring, and operations
Write clean, maintainable code and participate in peer reviews and team design discussions
Contribute to the automation of development, deployment, and monitoring processes as part of a DevOps culture
Continuously learn and apply new AI technologies, frameworks, and techniques that can enhance developer workflows
Participate in team retrospectives and help drive improvements in team velocity and product quality.

Fulltime

Staff Software Engineer - GenAI

Oscilar is seeking a highly experienced Staff Software Engineer - Generative AI ...

Location

Salary:

Not provided

Oscilar

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Software Engineering, or a related field
7+ years of backend software development experience
3+ years focusing on AI/ML, including hands-on experience with generative AI models (e.g., GPT, LLMs)
Strong expertise in Python or Java and AWS technologies
Deep knowledge of building and operating low-latency, high-scale services in distributed environments
Proven experience deploying and optimizing AI/ML models in production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP)
Familiarity with microservices architecture, RESTful APIs, and security best practices in AI services
Experience with distributed data systems such as Kafka, ClickHouse, or similar technologies to manage large-scale AI workloads
Strong understanding of CI/CD tools (e.g., Jenkins, Git, Maven, Gradle) and agile development methodologies, with a focus on automating model deployment
Excellent problem-solving abilities, with a focus on AI model performance optimization, scalability, and system architecture

Job Responsibility

Design and implement scalable backend services that leverage generative AI models to deliver high-performance, low-latency solutions
Collaborate with product, frontend, and QA teams to define technical requirements and ensure seamless integration of AI models with other platform components
Optimize AI models and backend services for maximum performance, scalability, and maintainability in a distributed environment
Identify and resolve bottlenecks related to AI processing and system performance, ensuring efficient resource utilization and system stability
Implement best practices for deploying, monitoring, and maintaining AI models in production, including CI/CD pipelines and model versioning
Proactively monitor the health and performance of AI-driven backend services, applying strategies to mitigate potential issues and ensure high availability

What we offer

Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy
AI First company
both Co-Founders are engineers at heart
and over 50% of the company is Engineering and Product
Family-Friendly environment
Regular team events and offsites
Unparalleled learning and professional development opportunities

Fulltime

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

Location

United States , Chevy Chase

Salary:

115000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and specialization with at least two modern languages such as Java, Python or C# including object-oriented design
8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production
Strong hands-on 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 experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
A history of delivering measurable business outcomes from AI systems
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Focus on multiple areas and provide leadership to the engineering teams
Own complete solution across its entire life cycle
Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience
Mentor engineers who want to learn AI, LLMs, and agent-based development
Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams
Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments
Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications

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 Engineer

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

Location

United States , Chevy Chase

Salary:

115000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and specialization with at least two modern languages such as Java, Python or C# including object-oriented design
8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production
Strong hands-on 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 experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design
A history of delivering measurable business outcomes from AI systems
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Focus on multiple areas and provide leadership to the engineering teams
Own complete solution across its entire life cycle
Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience
Mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation
Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams
Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments
Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications

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

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Staff Engineer - Applied AI (Java)

Geico

Location:
United States , Chevy Chase ▼
Palo Alto
Dallas
Seattle

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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Staff Engineer - Applied AI (Java)

Geico

Location:United States , Chevy Chase ▼Palo AltoDallasSeattle

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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Job Posted:
February 21, 2026