Pika

1 month ago

Software Engineer, AI Infra

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Seeking a Senior Backend & Infra Engineer to architect and own distributed backend systems powering AI-driven products. You will lead real-time messaging, agent runtimes, memory retrieval, and multi-provider LLM integrations, shaping scalable infrastructure and guiding junior engineers through RFCs and reviews.

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Architect Distributed Systems: Build scalable backend, infrastructure, and agentic services for multi-platform products.
•Evolve the Agent Runtime: Design and optimize the core execution loop for agent reasoning, tool-use, memory retrieval, and multi-step orchestration.
•Design Real-Time Architecture: Own and scale real-time messaging, event-driven architectures, WebSocket connections, and pub/sub patterns.
•Implement Core AI Capabilities: Optimize LLM integrations, multi-provider model routing and context/window management, cost optimization, and streaming responses.
•Build Memory & Retrieval Systems: Design semantic search and vector embeddings for long-term memory and episodic recall.

Pay and Benefits

Salary: USD 185,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityMonthly StipendsCompany Retreats

Key Requirements

•5+ years of software engineering experience building production services at scale
•2+ years hands-on with LLM-based orchestration, multi-agent systems, or agentic solutions
•Deep proficiency in modern backend technologies (Node.js, Python, Go) and frameworks (Express, FastAPI, TypeScript)
•Strong understanding of distributed systems, event-driven microservices, message queues, cloud infrastructure (AWS/GCP), Kubernetes, and CI/CD workflows
•Solid grasp of LLM capabilities and limitations, prompt engineering, tool-use execution, and embedding models

Experience:5+ yearsAiStartupSaaS

Skills:OwnershipCommunicationMentorshipCollaborationProblem-solving

Languages:English

Tech Stack:Node.jsPythonGoExpressFastAPITypeScriptAWSGCPKubernetesCI/CDWebSocketPub/subLLMEmbedding

Company Brief

Pika

Pika (Pika Labs) builds AI-driven tools to generate and edit videos from text prompts and images, enabling creators to produce cinematic, 3D, anime and stylized videos with a web-based platform and APIs.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Valuation: USD 250M to 500M

Funding: Series B

Headquarters: Palo Alto, United States

Founded: 2023

Website LinkedIn

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Pika

1 month ago

Software Engineer, AI Infra

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Architect Distributed Systems: Build scalable backend, infrastructure, and agentic services for multi-platform products.
•Evolve the Agent Runtime: Design and optimize the core execution loop for agent reasoning, tool-use, memory retrieval, and multi-step orchestration.
•Design Real-Time Architecture: Own and scale real-time messaging, event-driven architectures, WebSocket connections, and pub/sub patterns.
•Implement Core AI Capabilities: Optimize LLM integrations, multi-provider model routing and context/window management, cost optimization, and streaming responses.
•Build Memory & Retrieval Systems: Design semantic search and vector embeddings for long-term memory and episodic recall.

Pay and Benefits

Salary: USD 185,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityMonthly StipendsCompany Retreats

Key Requirements

•5+ years of software engineering experience building production services at scale
•2+ years hands-on with LLM-based orchestration, multi-agent systems, or agentic solutions
•Deep proficiency in modern backend technologies (Node.js, Python, Go) and frameworks (Express, FastAPI, TypeScript)
•Strong understanding of distributed systems, event-driven microservices, message queues, cloud infrastructure (AWS/GCP), Kubernetes, and CI/CD workflows
•Solid grasp of LLM capabilities and limitations, prompt engineering, tool-use execution, and embedding models

Experience:5+ yearsAiStartupSaaS

Skills:OwnershipCommunicationMentorshipCollaborationProblem-solving

Languages:English

Tech Stack:Node.jsPythonGoExpressFastAPITypeScriptAWSGCPKubernetesCI/CDWebSocketPub/subLLMEmbedding

Company Brief

Pika

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Valuation: USD 250M to 500M

Funding: Series B

Headquarters: Palo Alto, United States

Founded: 2023

Website LinkedIn