Staff Software Engineer, AI Agentic Search Job at Notion (Hyderabad)

Staff Software Engineer, Core AI

As a Staff AI Engineer on our Core AI team, you will be a cornerstone of FloQast...

Location

United States , San Jose

Salary:

164000.00 - 246000.00 USD / Year

FloQast

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience
4+ years focused on building backend for production applications
Mastery of Python
Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders

Job Responsibility

Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance

What we offer

Medical
Dental
Vision
Family Forming benefits
Life & Disability Insurance
Unlimited Vacation

Fulltime

Staff Agentic AI Engineer

Ignite the Future of AI at Teradata. At Teradata, we're not just managing data; ...

Location

India , Hyderabad

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
5+ years focused on AI/ML, intelligent systems, or agent-based architectures
Deep understanding of software design principles and scalable architecture patterns
Strong experience with LLM APIs (e.g., OpenAI, Claude, Gemini) and agentic frameworks (e.g., AutoGen, LangGraph, AgentBuilder, CrewAI)
Proven ability to build complex multi-step workflows using prompt pipelines, tools, and adaptive reasoning
Proficiency in Python and experience with vector databases, API integration, and orchestration tools
Familiarity with agent evaluation metrics: correctness, latency, grounding, and tool use accuracy
Experience leading AI projects from inception to deployment in a production setting
Master’s or Ph.D. in Computer Science, AI, or a related field, or equivalent industry experience
Experience working with multimodal inputs, retrieval systems, or structured knowledge sources

Job Responsibility

Design and implement autonomous AI agents for semantic search, text-to-SQL translation, and analytical task execution
Develop modular prompts, reasoning chains, and decision graphs tailored to complex enterprise use cases
Enhance agent performance through experimentation with LLMs, prompt tuning, and advanced reasoning workflows
Integrate agents with Teradata’s Model Context Protocol (MCP) to enable seamless interaction with model development pipelines
Build tools that allow agents to monitor training jobs, evaluate models, and interact with unstructured and structured data sources
Work on retrieval-augmented generation (RAG) pipelines and extend agents to downstream ML systems

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

Staff Software Engineer - AI

You will have the opportunity to join as one of the founding members of this new...

Location

United States , San Francisco

Salary:

253200.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

Strong SWE fundamentals (system design, APIs, etc.)
Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to: Prompt engineering
Fine-tuning
Retrieval augmented generation (RAG)
Semantic search - vector database and embedding models
Agent orchestration framework
Evaluation and monitoring framework of open-ended tasks
Streaming and SSE
Common UX and design patterns for GenAI-powered products
Strong debugging and monitoring experience for production systems

Job Responsibility

Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features
Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact
Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches
Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Staff Software Engineer - AI Engineering

Join the cybersecurity company that puts security first; literally and without c...

Location

United States

Salary:

170000.00 - 200000.00 USD / Year

KnowBe4

Expiration Date

March 07, 2026

Requirements

9+ years of experience designing and operating large-scale, distributed, or AI-driven systems
Proven technical leadership defining architecture and design patterns across multiple teams or domains
Expertise in Python and backend/API frameworks such as FastAPI or Flask
Deep understanding of cloud-native architecture (AWS preferred), event-driven systems, and distributed scalability, leveraging CI/CD and infrastructure-as-code (we use GitLab and Terraform)
Experience building or integrating AI/ML platform features - model serving, orchestration, vector search, or MLOps frameworks
A habit of turning new discoveries into reusable knowledge for the team

Job Responsibility

Define and evolve the technical vision for AI and agentic systems across products
Design orchestration, data, and serving patterns that handle global scale with reliability
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks
Mentor engineers, lead design reviews, and guide cross-team engineering initiatives
Establish best practices for observability, testing, and secure, explainable AI systems
Align teams around shared architectural principles and long-term technical goals. Partner closely with Product Management to align engineering designs with product requirements
Drive innovation responsibly, delivering systems that stay measurable, maintainable, and safe
Stay deeply engaged with the cybersecurity landscape, understanding emerging threats, evolving compliance requirements, and industry standards, to ensure our solutions directly address the real-world evolving security challenges our customers face

What we offer

Company-wide bonuses based on monthly sales targets
Employee referral bonuses
Adoption assistance
Tuition reimbursement
Certification reimbursement
Certification completion bonuses

Fulltime

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

New

Staff Software Engineer (Applied AI)

This is a high-leverage opportunity to serve as a foundational technical leader ...

Location

United States , Seattle; New York City; Boston

Salary:

180000.00 - 240000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

8-12 years of experience in large-scale software engineering, with a proven track record in service-oriented architectures and large data systems
Demonstrated architectural experience designing and implementing highly observable, scalable distributed systems, including complex microservices and event-driven architectures
Hands-on experience in the full-stack productization of Applied AI/LLM features, specifically working with RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
Cloud platform proficiency (preferably AWS), including hands-on experience with infrastructure design, deployment pipelines, and cost optimization
Expertise in designing and optimizing data-intensive applications, including deep database expertise (schema design, query optimization) and data consistency patterns
A strong leadership track record in driving technical direction for significant, cross-functional projects

Job Responsibility

Architect and build the foundational LLM architecture (RAG, Agents, Vector DBs) that powers high-impact product features across the organization
Design and deliver high-performance, distributed systems (data pipelines, APIs, microservices) that process healthcare data at scale and securely integrate LLM outputs into the user experience
Drive Proof-of-Concepts (POCs) and technical evaluation of new AI technologies to validate their product viability and scalability
Design and build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
Ensure observability, monitoring, and operational excellence, championing security and regulatory compliance (HIPAA, SOC2)
Drive system design and technical planning for all critical projects, including large, complex, and cross-functional initiatives across the organization
Partner strategically with Product, Operations, and Design leadership, translating complex business requirements into technical strategies and influencing roadmap prioritization
Mentor engineers at Software Engineer I, II, and III levels, accelerating their technical growth and leadership development
Educate the organization on the capabilities, best practices, and limitations of using LLMs and applied AI within the healthcare domain
Define and implement engineering standards, patterns, and best practices that significantly improve scalability, reliability, and developer productivity across the product

What we offer

discretionary performance bonus
equity options
competitive benefits package

Fulltime

Sr. Staff Engineer (Conversational/Voice AI)

Uber’s Customer Obsession team builds the platform and AI that powers world‑clas...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years building production ML/AI systems
4+ years leading complex ML initiatives end‑to‑end
Deep expertise in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals)
Strong software engineering in Python plus one of Go/Java/C++
hands‑on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real‑time telemetry/observability
Demonstrated ownership of high‑availability services (SLO/SLA design, incident response, on‑call leadership, postmortems)
Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy)

Job Responsibility

Own the end‑to‑end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations
Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries
design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction)
Lead voice agent initiatives: Drive the development of Uber’s voice support agent—covering real-time speech recognition (ASR), text-to-speech, natural turn-taking (barge-in and endpointing), and reliable telephony/WebRTC integration
Advance retrieval & reasoning: Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded
Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms
Drive automation at scale: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact
Mentor/principal‑lead multiple pods
set technical strategy and quality bars
coach senior engineers on agentic patterns, reliability, and experiment velocity

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Staff Software Engineer, AI Agentic Search

Notion

Location:
India , Hyderabad

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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