Staff Engineer

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

Staff Engineer-Applied AI

Join us as a Staff Engineer-Applied AI. At Barclays, we don’t just adapt to the ...

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
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
Health and wellness
A place where you can belong
More than work

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

Staff Software Engineer

We’re not just building better tech. We’re rewriting how data moves and what the...

Location

Salary:

255600.00 - 300300.00 CAD / Year

Confluent

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience, including substantial time as a technical architect on complex, business critical systems
Deep hands-on expertise in full stack development using languages such as Go, Java, or similar, building services and APIs and modern JavaScript front ends (e.g., React)
Strong experience with relational databases (e.g., PostgreSQL) and comfort working with event streaming or messaging technologies such as Kafka
Proven track record of architecting and delivering internal or B2B applications that support complex business workflows with high reliability and usability
Demonstrated ability to decompose ambiguous, cross team problems into clear technical designs and milestones, and to ship high quality solutions on time for multi quarter initiatives
Experience improving developer productivity and operational excellence through better abstractions, tooling, automation, and thoughtful refactoring of legacy systems
Strong system design, data structures, and algorithms foundation, with an emphasis on pragmatic trade offs and simplicity in real world systems
Comfortable operating in a cloud native environment (AWS or similar), using containers, CI/CD, and modern observability tooling to run and operate services in production
Excellent communication and collaboration skills, with a track record of influencing stakeholders at multiple levels and mentoring other engineers
Growth mindset, ownership mentality, and a bias for action in pursuit of measurable impact on revenue, efficiency, and customer experience

Job Responsibility

Lead the architecture, design, and implementation of high impact internal web applications that support deal lifecycle, pricing and quoting, forecasting, and planning workflows
Own complex, cross team technical initiatives from problem framing through design, implementation, rollout, and long term evolution
Identify and drive high leverage technical investments that improve reliability, performance, developer velocity, and user experience across multiple applications and services
Design and evolve microservices, APIs, and data models that integrate with systems such as Salesforce, billing, data platforms, and analytics, ensuring robust contracts and clear boundaries
Partner closely with Product Managers and business stakeholders to translate ambiguous business problems into clear technical strategies, roadmaps, and deliverables over multi quarter horizons
Provide technical leadership and mentoring for senior and mid level engineers, raising the bar on design quality, code quality, observability, and operational excellence across the team
Champion engineering best practices including testing, performance engineering, incident readiness, and secure coding, and ensure they are consistently applied in your area of ownership
Collaborate with peer teams to define cohesive end to end solutions and shared platforms rather than point integrations
Contribute to and help refine the technical strategy, architecture principles, and career standards for the Commit Estimator and broader Application & AI Engineering domains
Contribute to modernize the existing application and platform for scalability, availability, speed of delivering software and enabling AI capabilities for End Users

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Offers Equity

Fulltime

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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