---
title: 'AI Engineer (India) at Lynx Analytics'
canonical: 'https://feeny.ai/job/ai-engineer-india-lynx-analytics-pune-a01wq9cqbheh'
type: 'job'
last_seen: '2026-09-10'
---

# AI Engineer (India) at Lynx Analytics

- **Company:** Lynx Analytics
- **Location:** Pune, India
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/lynxanalytics/jobs/8647303002

## Job description

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together.

This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes.

What This Involves:

- Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning.
- Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation.
- Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems.
- Write clean, well-tested Python code and participate in code reviews.
- Debug and improve existing AI systems based on evaluation results and production feedback.
- Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications.
- Document implementations clearly and contribute to shared internal tooling.

Requirements:

- 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting.
- Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent).
- Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs.
- Familiarity with vector databases or embedding-based search.
- Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques.
- Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing teams.
- Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day.

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)

## Other roles at Lynx Analytics

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- [AI Engineer (US)](https://feeny.ai/job/ai-engineer-us-lynx-analytics-new-york-cdsdd0snmp0z) — New York, NY / Philadelphia Pennsylvania, United States / San Francisco California, United States
- [Fullstack Developer (US)](https://feeny.ai/job/fullstack-developer-us-lynx-analytics-new-jersey-s2rybqntf4ze) — New Jersey, United States / New York, NY / San Francisco California, United States
- [Fullstack Developer (India)](https://feeny.ai/job/fullstack-developer-india-lynx-analytics-pune-erfyzvpm9eaw) — Pune, India
- [Senior / Business Consultant (US)](https://feeny.ai/job/senior-business-consultant-us-lynx-analytics-new-york-8hxezyptnxdm) — New York, NY / Philadelphia Pennsylvania, United States
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