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

Staff Software Engineer - AI Applications

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

228360.00 - 369800.00 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

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

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