I

Inflection

Personalized AI assistant for self-improvement

Principal Engineer - Agentic AI Systems

Full-Time
$400k - $550k/yr+ Equity
Mid, Senior, Expert
Bachelor's
Palo Alto, CA, USA
In PersonOn-site in Palo Alto, CA; visa support for international employees living in the Bay Area.
Software EngineeringAI Application Engineering

About the job

Requirements
  • 10+ years of engineering experience, including 3+ years at staff/principal or equivalent scope, and 2+ years building production-grade agentic or LLM-powered systems used by real customers.
  • Strong Python or TypeScript experience.
  • Experience building LLM-powered products, AI agents, RAG systems, automation workflows, or model-integrated applications.
  • Strong backend engineering fundamentals, including APIs, databases, queues, testing, observability, cloud infrastructure, and deployment.
  • Experience with tool/function calling, structured outputs, embeddings, retrieval, prompt design, and model evaluation.
  • Strong product judgment and ability to move from ambiguous problem to shipped product quickly.
  • Ability to work effectively in a fast-moving environment with ownership, collaboration, and high technical standards.
  • Have a bachelor’s degree or equivalent in a related field to the offered position requirements
Responsibilities
  • Build production AI agents that can plan, retrieve context, call tools, take actions, and recover from failures.
  • Design agent architectures for task decomposition, tool routing, memory, state management, human approval, and safe execution.
  • Create evals and observability systems for multi-step task success, tool-call accuracy, hallucination resistance, latency, cost, and failure modes.
  • Integrate agents with APIs, databases, SaaS tools, enterprise systems, internal systems, and user-facing workflows.
  • Improve reliability through structured outputs, guardrails, fallback paths, monitoring, permissions, auditability, and human-in-the-loop controls.
  • Partner with product, design, and engineering teams to turn ambiguous user problems into shipped AI-native features.
  • Make pragmatic model and infrastructure choices across proprietary models, open-source models, orchestration frameworks, vector databases, and cloud environments.
  • Contribute to technical direction, engineering best practices, and the quality bar for agentic AI systems.
  • Own the technical direction of agentic AI systems, provide support and coaching to the team.
Desired Qualifications
  • Experience with LangGraph, LlamaIndex, OpenAI, Anthropic, Hugging Face, vLLM, or similar tools.
  • Experience with agent memory, planning, multi-agent systems, browser automation, workflow automation, or AI copilots.
  • Experience building eval pipelines, synthetic test cases, observability, guardrails, or AI safety systems.
  • Experience with enterprise SaaS, productivity tools, developer tools, CRM, support, sales, finance, legal, or operations workflows.
  • Experience working in early-stage, high-growth, or zero-to-one product environments

About the company

I

Inflection

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Inflection.ai builds an AI-powered personal assistant called Pi that runs on iOS and other platforms. Pi interacts with users in natural language to help with journaling, planning, learning new things, and providing emotional support, acting as a trusted companion. It works by understanding user input and delivering personalized responses and services, ranging from organization and self-improvement tasks to explanations of ideas in simple terms. The approach centers on personalization and emotional intelligence to go beyond task-only helpers, offering a friend-like experience. The business model is likely freemium: core features are free with premium, personalized capabilities available through subscriptions. The goal is to help people improve their personal and professional lives through organized routines, ongoing learning, and emotional support while growing a broad user base and monetizing advanced features.

Company Size

51-200

Company Stage

Growth Equity (Venture Capital)

Total Funding

$1.5B

Headquarters

Palo Alto, California

Founded

2022

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Simplify's Take

What believers are saying

  • July 21, 2026 launch adds Pi Journeys, updated voice, memory, reminders, and shopping.
  • Inflection AI Labs publishes research, feeding product iteration and brand authority in personal AI.
  • Two recent pivots—enterprise in 2024, consumer return in 2026—show management adaptability.

What critics are saying

  • Microsoft stripped Inflection’s founding team in 2024; another talent raid kills product velocity.
  • Pi competes against ChatGPT, Gemini, and Claude; consumer mindshare disappears fast.
  • If Pi Journeys stalls, Inflection becomes a thin shell around acquired enterprise features.

What makes Inflection unique

  • July 21, 2026: Inflection AI Labs targets relational intelligence, not generic chatbot output.
  • Pi Journeys personalizes around life stages, relationships, and memory, unlike transactional assistants.
  • Inflection still owns Pi, brand equity from 2023’s friendly consumer AI differentiation.

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Benefits

  • Health Insurance
  • 401(k) Company Match
  • Unlimited Paid Time Off
  • Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

1%

2 year growth

14%
TMCnet
Oct 15th, 2026
Alice Collaborates with Inflection AI and AI21 to Demonstrate NVIDIA Nemotron Open Models Can Be Trained for Frontier Safety

Alice Collaborates with Inflection AI and AI21 to Demonstrate NVIDIA Nemotron Open Models Can Be Trained for Frontier Safety TMCnet News [October 15, 2026] | / | Alice Collaborates with Inflection AI and AI21 to Demonstrate NVIDIA Nemotron Open Models Can Be Trained for Frontier Safety NEW YORK, Oct. 15, 2026 (GLOBE NEWSWIRE) - Alice announced the results of two collaborations focused on aligning NVIDIA Nemotron models to company-specific safety and security policies. The results demonstrate how real-world threat data can be used to train open-source models for frontier safety performance. Open-source models give organizations greater control over AI behavior, allowing them to train policies into the underlying model rather than setting instructions as system prompts. To successfully train models on their policies, companies need adversarial data and expertise. Two projects demonstrate how NVIDIA's state-of-the-art open-source model can be aligned for safer human interactions, and more secure enterprise agents. "Powerful AI is being democratized. It's now available to companies everywhere, and they want to use it safely and predictably," said Noam Schwartz, CEO and co-founder of Alice. "These results show that with the right real-world adversarial data and training, we can teach open source models how to handle the threats and abuse they will actually face, across very different safety challenges, while keeping them as powerful. That's the bar now: frontier-grade safety that any organization running advanced AI can actually put into practice." Training safety for how people actually use AI Inflection AI is building personal AI that empowers people and shifts interactions from transactional to relational. Allowing more natural interactions with conversational AI also increases risks which most benchmarks can't catch. In the process of building the next generation of personal intelligence, Inflection AI fine-tuned NVIDIA Nemotron 3 Super 120B-A12B, and turned to Alice to develop red-teaming datasets aimed at reducing sycophancy and preventing the model from reinforcing unhealthy attachment over long conversations. Fine-tuning on that data raised Pi's alignment score by 30% while keeping unnecessary refusals to just 1.6%. Alice created more than 20 realistic personas and used them in multi-turn red-team exercises where those risks could develop over time. The personas included vulnerable but benign users as well as adversarial users deliberately attemping to manipulate the model, drawing on Alice's real-world knowledge of harmful and adversarial behavior. "As AI innovation accelerates, safety has to advance rapidly as well. It's no longer enough to ask whether a model can identify and refuse a harmful prompt," said Sean White, CEO of Inflection AI. "We also need to understand how AI behaves across hundreds of interactions, whether it challenges rather than simply agrees, if it supports human agency rather than dependency, and ultimately if it leaves people more capable. This work with Alice and NVIDIA demonstrates that we can train those principles into powerful open models without sacrificing what makes them useful. That's fundamental to the kind of human-centered Personal Intelligence we're building with Pi." Security without sacrificing capability Alice also worked with AI21, which has trained language models since 2021 and now offers lab-as-a service for specialized intelligence. The work with them focused on a very different problem: protecting enterprise agents against indirect prompt injection. As agents gain access to company systems, data and tools, attackers can attempt to manipulate them through information the agent encounters while doing its work. Training against those attacks therefore cannot focus only on whether the model refuses a malicious instruction. A secure agent also needs to recognize the attack while continuing to complete the legitimate task. Alice's reinforcement-learning environments were built to train and measure both. AI21 used them to post-train the recently released NVIDIA Nemotron 3.5 Super VL open model, increasing the model's resilience to indirect prompt injection by 41 points, competing with GPT-6.1 Sol. The result shows that security and capability are not necessarily competing objectives. With the right training, models can become significantly more resilient to adversarial manipulation while maintaining task performance. "For most companies, the next phase of AI adoption goes beyond frontier models, to open models they own, shape and control," said Ori Goshen, Co-founder and CEO of AI21. "Owning a model means owning how it fails, not only what it can do. We post-trained NVIDIA Nemotron 3.5 Super-VL on attack traces Alice sees in the wild, so it holds up against the attacks that actually reach enterprises while keeping the behavior it was built for." "NVIDIA Nemotron provides the open weights, recipes and tooling for organizations to post-train on their own data and optimize accuracy and performance for their specific workloads," said Joey Conway, senior director Nemotron and Software, NVIDIA. "Alice's work with Inflection AI and AI21 shows how post-training Nemotron on real-world adversarial data delivers powerful safety and security - exactly the kind of innovation open models are meant to unlock." Taken together, these collaborations demonstrate how real-world adversarial intelligence, safety datasets, expert red teaming and reinforcement-learning environments can turn open models into systems trained for the risks they will actually face. The broader opportunity is clear: powerful, customizable AI that companies can own and deploy with frontier-level safety built in. About Alice Alice is an AI safety and security company helping model builders and enterprises train, evaluate, and deploy safer AI. Its adversarial intelligence combines continuously emerging threats from open and closed communities with expert research to power red teaming, evaluations, training data, RL environments, and enterprise guardrails. Alice works with 8 of the 10 leading foundation model labs and AI-native companies, while helping enterprises test and protect AI applications against real-world safety and security risk. About Inflection AI Inflection AI is a Public Benefit Corporation with the mission to harness the power of AI to improve human well-being and productivity. Inflection AI is empowering people and brands with human-centered, emotionally intelligent AI that transforms interactions from transactional to relational. Inflection AI pioneered Personal Intelligence with Pi, the world's first Personal Intelligence partner, built to help people navigate their lives. Pi is powered by the Inflection AI stack orchestrated across custom fine-tuned models. About AI21 AI21 is an AI lab building frontier models and AI systems for the enterprise since 2017. Creator of the Jurassic and Jamba model families, AI21 today offers its lab-as-a-service for specialized intelligence: Forward-Deployed Researchers and a harness- and model-training platform that turn open foundations into models its customers own, delivered with the weights, recipes and evaluations that keep them theirs. AI21 has secured $336 million in funding from industry leaders, including Google, and Intel, reinforcing its commitment to advancing AI innovation. Media Contact: Mark Prindle [email protected] [ Back To TMCnet.com's Homepage] |

Vestbee
Oct 13th, 2026
Ubitium raises $14M to develop a universal processor for Physical AI.

Ubitium raises $14M to develop a universal processor for Physical AI. Düsseldorf-based semiconductor startup Ubitium, which develops a universal processor for Physical AI, has raised $14 million in a seed funding round led by Ibex Investors, with participation from OpenOcean, Florian Seibel, and existing investors Runa Capital, KBC Focus Fund, and Inflection. * Founded in 2024 by Hyun Shin Cho and Martin Vorbach, Ubitium develops a reconfigurable RISC-V processor designed to combine signal processing, AI inference, and real-time control on a single chip, replacing the multiple specialised processors typically used in autonomous machines. * The company's first chip, the UB108, has demonstrated all three computing functions running on the same reconfigurable array. Manufactured using Samsung's 8nm process, the chip contains 256 processing elements. Details of the deal. * The latest investment brings Ubitium's total seed funding to $18 million. The firm plans to bring its first commercial processor, the UB410, featuring 4,096 processing elements, to market, with evaluation units expected in 2027. "When we first invested, Ubitium's universal processor was a bold bet. First silicon in a single year turned that bet into proof. We're proud to keep backing the team, and we look forward to working with Ibex Investors and OpenOcean as Ubitium brings one processor for Physical AI to market," explains Rudi Severijns, Investment Director at KBC Focus Fund.

The Humanist AI
Jul 29th, 2026
The Humanist AI is a premier digital resource dedicated to the critical challenge of the algorithmic age: how to preserve human relevance in a rapidly evolving economy.

The Humanist AI is a premier digital resource dedicated to the critical challenge of the algorithmic age: how to preserve human relevance in a rapidly evolving economy. General News Inflection AI re-enters consumer market with Pi Journeys following Microsoft talent shakeup. Inflection AI is making a comeback in consumer tech with Pi Journeys and Inflection Labs, betting on relational intelligence following its Microsoft shakeup. Inflection AI, the Silicon Valley startup that underwent a massive restructuring after tech giant Microsoft absorbed most of its founding team and technical talent, has officially announced its return to consumer-facing artificial intelligence. The Palo Alto-based company is launching Inflection AI Labs alongside a new product called Pi Journeys, signaling an ambitious attempt to reclaim its position in personal, human-centric conversational technology. Just a year ago, Inflection represented one of the most high-profile cautionary tales regarding the immense capital demands and consolidation pressures of the frontier AI race. Co-founded by DeepMind veteran Mustafa Suleyman and LinkedIn co-founder Reid Hoffman, Inflection originally captured industry attention with Pi - a friendly, empathetic chatbot designed for everyday conversation rather than pure productivity. However, in early 2024, Microsoft struck a non-traditional $650 million deal that brought Suleyman, co-founder Karén Simonyan, and the vast majority of Inflection's research staff into Microsoft AI, effectively stripping the startup of its primary technical engine. Following the talent exodus, Inflection appointed former Mozilla executive Sean White as Chief Executive Officer. Under White's leadership, the company initially pivoted toward serving enterprise customers, offering hosted infrastructure and custom-tuned large language models. The move was widely interpreted as a surrender in the grueling, high-cost consumer AI race, where competition from OpenAI's ChatGPT, Google's Gemini, and Anthropic's Claude made standalone consumer models economically daunting. The unveiling of Inflection AI Labs and Pi Journeys represents a surprising second act for the startup. Rather than competing head-to-head on massive, multi-modal foundation models that require billions of dollars in infrastructure, Inflection Labs is adopting an agile, experimental research approach focused on what it calls "relational intelligence." Pi Journeys introduces structured, multi-step conversational experiences designed to help users navigate complex personal decisions, skill-building, and self-reflection, standing in stark contrast to the generic prompt-and-response loop typical of standard AI chatbots. The core philosophy driving Inflection's revival is the belief that AI should be inherently relational, continuous, and personal. While major competitors prioritize autonomous agentic workflows, software coding capabilities, and enterprise logic, Inflection is betting that millions of everyday users still desire an AI companion capable of active listening and long-term context awareness. By focusing on emotional intelligence and tailored user experiences, the startup hopes to carve out a sustainable niche that massive general-purpose platforms often overlook. This comeback highlights a broader structural shift in the consumer AI landscape. As top-tier foundation model providers focus heavily on enterprise automation, enterprise software integration, and autonomous coding agents, room is emerging for specialized application-layer platforms. Developing consumer AI that retains user trust without consuming runaway capital is an ongoing challenge, but Inflection believes its leaner, research-focused setup through Inflection Labs offers a viable path forward. Whether Inflection can successfully reignite consumer interest in the Pi ecosystem remains an open question, particularly given the fierce competition and fast-evolving user expectations across the sector. However, the startup's resurgence demonstrates that high-profile talent departures do not necessarily signal the end of well-capitalized AI ventures. By shifting from sheer parameter scale to thoughtful user-experience design, Inflection is testing whether specialized personal AI can flourish independently in an era dominated by tech titans.

The Humanist AI
Jul 24th, 2026
The Humanist AI is a premier digital resource dedicated to the critical challenge of the algorithmic age: how to preserve human relevance in a rapidly evolving economy.

The Humanist AI is a premier digital resource dedicated to the critical challenge of the algorithmic age: how to preserve human relevance in a rapidly evolving economy. General News Inflection AI re-enters consumer market with Pi Journeys following Microsoft restructuring. Inflection AI launches Pi Journeys and Inflection AI Labs, marking its return to consumer AI with a focus on relational intelligence and deliberate design. Silicon Valley startup Inflection AI is mounting an ambitious comeback in the consumer artificial intelligence market, announcing a dedicated creative incubator called Inflection AI Labs alongside a new interactive product suite named Pi Journeys. The bold announcement marks a significant operational resurgence for the Palo Alto firm, which spent much of the past year quietly reorganizing after a dramatic talent migration saw Microsoft siphon away its core executive leadership and a vast majority of its foundational research team. Launched in 2022 with hundreds of millions in capital from high-profile backers including Reid Hoffman and Bill Gates, Inflection initially disrupted the generative AI scene with Pi, a unique conversational chatbot designed around empathetic dialogue, active listening, and emotional warmth. However, the company quickly encountered the harsh financial realities of maintaining massive frontier language models. The situation culminated in early 2024 when co-founders Mustafa Suleyman and Karén Simonyan departed to lead Microsoft's new consumer AI division, accompanied by an agreement that left Inflection stripped of key engineering talent but equipped with licensing revenues and operational autonomy. Rather than capitulating to enterprise-only pivot strategies as many analysts expected, Inflection is reaffirming its faith in consumer-facing relational software. With the debut of Pi Journeys, the company is introducing structured, multi-stage conversational experiences intended to help individuals navigate complex personal goal-setting, habit formation, and guided self-reflection. Unlike standard digital assistants that treat each query as an isolated task, Pi Journeys leverages long-term conversational continuity to build an ongoing dialogue centered around the user's personal development. Operating as the engine behind these new product lines, Inflection AI Labs will serve as an experimental sandbox dedicated to testing human-centered design paradigms and fine-tuned model behavior. Rather than burning capital in an unsustainable race to build trillion-parameter foundation models against hyper-scalers like Google or OpenAI, Inflection is focusing its technical resources on lightweight, highly specialized architectures optimized for contextual recall, nuanced vocal tone, and soft-skills interaction. The timing of Inflection's return underscores a broader split in the artificial intelligence sector. While mainstream market competitors are competing fiercely over raw reasoning capabilities, agentic automation, and enterprise coding metrics, a distinct consumer segment is seeking tools focused on emotional support, creative partnership, and life coaching. Inflection's strategy assumes that as foundational intelligence becomes commoditized, superior user experience and relational depth will serve as the primary differentiators for consumer retention. Furthermore, Inflection's resurgence provides an intriguing precedent for the startup ecosystem at large. The company's initial talent drain to Microsoft was widely viewed across Silicon Valley as a cautionary tale regarding the immense power dynamics between Big Tech and independent labs. By restructuring its operations and re-emerging with novel consumer offerings, Inflection is attempting to prove that lean, focused startups can survive corporate upheaval and find commercial viability outside the shadow of tech monopolies. As Inflection AI Labs begins deploying Pi Journeys to early users, the company faces the formidable task of recapturing mindshare in an increasingly crowded consumer landscape dominated by ubiquitous platform defaults. Success will depend heavily on whether users find genuine long-term value in specialized relational AI experiences. Nevertheless, Inflection's insistence on putting human connection and intentional design at the center of its software signals a compelling new chapter in its ongoing evolution.

Yahoo Finance
Jul 21st, 2026
Inflection AI launches Labs initiative to develop personalised AI for life transitions

Inflection AI has launched Inflection AI Labs, an initiative focused on personal intelligence experimentation and research. The lab's first experiment is Pi Journeys, which helps users navigate different life phases by adapting to their relationships and priorities. Pi Journeys uses new approaches to memory and fine-tuning based on AI usage pattern research. It personalises experiences around users' life stages, whether they're becoming parents, changing careers, or managing households. Inflection AI Labs will publish ongoing research on personal intelligence. Its first State of Consumer AI Research Report found that average AI consumers use roughly two different AI tools daily and three weekly. Respondents wanted AI to function as coaches, chefs, or DJs rather than just productivity tools, prioritising personalisation, emotional understanding, and context awareness.