---
title: 'AI Engineer (US) at Lynx Analytics'
canonical: 'https://feeny.ai/job/ai-engineer-us-lynx-analytics-new-york-cdsdd0snmp0z'
type: 'job'
last_seen: '2026-09-10'
---

# AI Engineer (US) at Lynx Analytics

- **Company:** Lynx Analytics
- **Location:** New York, NY / Philadelphia Pennsylvania, United States / San Francisco California, United States
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/lynxanalytics/jobs/8647264002

## Job description

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure.

You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale.

What This Involves:

- Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows.
- Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines.
- Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks.
- Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders.
- Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on.
- Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production.

Requirements:

- 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production.
- Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.).
- Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures.
- Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.).
- Proficiency in Python and solid software engineering fundamentals: APIs, testing, CI/CD, containerisation (Docker/Kubernetes).
- Experience working in a consulting or client-facing environment — comfortable presenting technical approaches and adapting to ambiguous requirements.
- Strong written and verbal communication skills across distributed, cross-functional teams.

Key Competencies:

- Stakeholder Mentality: Treats the company's and client’s goals as their own and is genuinely motivated by its success.
- Organisational Excellence: Manages time and priorities effectively, ensuring tasks are completed accurately and on time even in a fast-paced environment.
- Discretion & Integrity: Handles sensitive and confidential information with professionalism and sound judgement.
- Problem Solving: Approaches challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.
- Collaboration: A team player who builds strong working relationships and communicates effectively with colleagues across all levels.

Why You Will Love It Here:

- Work on real-world AI and advanced analytics solutions with measurable business impact.
- Collaborate with a global team of engineers and data scientists.
- Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
- A collaborative culture that values real outcomes.
- Rapid learning opportunities and diverse challenges.
- Flat organisational hierarchy with high visibility and accessibility to our leaders.

## About Lynx Analytics

## Company Overview
- **One-liner**: Lynx Analytics is an AI-native consulting firm that applies machine learning and graph analytics to solve complex challenges for global life sciences organizations.
- **Entity Type**: Private (stage: Unattributed; total raised $10M)
- **Headquarters**: Singapore, Singapore
- **Founded**: 2010
- **Founders**: A group of INSEAD students and professors; notable co-founder includes Gabor Benedek, PhD (Chief Innovation Officer)

## Core Business
- **Primary industry**: Life sciences (pharma and biotech), with additional work in healthcare, retail, telecommunications, and banking.
- **Target customers**: B2B, Enterprise (global pharmaceutical and biotech companies, plus large enterprises in other regulated industries).
- **Mission or purpose statement**: To apply graph theory and AI to simplify and solve complex, real-world business problems, helping clients move faster and achieve more.

## Products & Services
- **LynxKite**: A complete Graph AI platform for very large datasets that transforms data into graphs and lets users perform complex analysis in a no-code environment; often part of the solution stack delivered to customers.
- **Lumen**: An Agentic AI framework designed specifically for pharmaceutical and biotech organizations to generate strategic, decision-ready insights from complex scientific and commercial information. It enables AI agents for use cases such as campaign planning, HCP engagement, clinical trial intelligence, and natural-language analytics.
- **IlluminAI**: A customized decision-support solution built on Lumen in collaboration with the International Oncology team at AstraZeneca. It allows teams to ask natural-language questions about forecast drivers and receive insights grounded in patient forecast models and revenue data.
- **Consulting Services**: AI-native consulting that embeds data engineers, data scientists, and software developers into client teams to design and deploy tailored, scalable solutions.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $10M (raised in a single round, no series disclosed)
- **Notable Investors/Partners**: Not publicly available (investors); key customers/partners include AstraZeneca, Hong Kong Telecom, and Levi’s.
- **Growth Signals**: Launched the Lumen Agentic AI framework in January 2026; expanded from bespoke analytics to a suite of capability-led AI solutions; deep partnership with AstraZeneca’s International Oncology team; growing global footprint with offices in Singapore, US, Hong Kong, Hungary, and operations in Canada, Germany, and Indonesia.

## Competitive Advantages
- **AI-native from day one** – built on a foundation of graph theory and advanced analytics, with over 15 years of experience applying machine learning to real-world problems.
- **Graph analytics expertise** – proprietary LynxKite platform enables no-code graph analysis on very large datasets, a differentiator versus traditional analytics providers.
- **Deep domain knowledge in life sciences** – focused exclusively on pharma and biotech, with solutions tailored to launch excellence, omnichannel investment, HCP engagement, and clinical trial optimization.
- **Always-on, scalable models** – e.g., continuous attribution models that replace static quarterly reports, and living HCP personas updated in real time.
- **Embedded delivery model** – teams work alongside clients, taking full ownership of outcomes and integrating into existing technology environments (no rip-and-replace).

## Strategic Focus
- Scaling from bespoke, project-based analytics to a suite of capability-led, repeatable AI solutions (e.g., Lumen framework).
- Deepening partnerships with global pharmaceutical companies and expanding the use of Agentic AI across commercial and clinical workflows.
- Continuing to build a diverse, global team and expanding geographical footprint in North America, Europe, and Asia.

## Why Work Here
- **Culture**: Described as fast-moving, ownership-driven, and built for intellectually demanding problems. The company values ambition, innovation, empathy, and relentless teamwork.
- **Team composition**: A diverse, global team of Professors, PhDs, MScs, and MBAs from Ivy Leagues, INSEAD, and NUS, with experience at companies like Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, and Palantir.
- **Remote/hybrid/office policy**: Has physical offices in Singapore, San Francisco (US), Hong Kong, and Hungary, and operations in Canada, Germany, and Indonesia. The company is global and likely supports hybrid/remote arrangements depending on role.
- **Notable perks**: Emphasis on real ownership and impact, exposure to cutting-edge AI and graph analytics, and the opportunity to work with some of the world’s largest life sciences companies.

## Sources
1. [lynxanalytics.com - About Us](https://www.lynxanalytics.com/about-us)
2. [lynxanalytics.com - Homepage](https://www.lynxanalytics.com/)
3. [job-boards.greenhouse.io - Lynx Analytics Careers](http://job-boards.greenhouse.io/lynxanalytics)
4. [lynxanalytics.com - Leadership](https://www.lynxanalytics.com/leadership)
5. [cbinsights.com - Lynx Analytics Profile](https://www.cbinsights.com/company/lynx-analytics)
6. [prnewswire.co.uk - Lumen Announcement](https://www.prnewswire.co.uk/news-releases/lynx-analytics-introduces-lumen-an-agentic-ai-framework-to-improve-decision-making-in-life-sciences-302660479.html)

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