---
title: 'Senior AI/ML Engineer - R01571454 at Brillio'
canonical: 'https://feeny.ai/job/senior-ai-ml-engineer-r01571454-brillio-gurgaon-haryana-n6spdsy47ep6'
type: 'job'
last_seen: '2026-10-18'
---

# Senior AI/ML Engineer - R01571454 at Brillio

- **Company:** Brillio
- **Location:** Gurgaon Haryana, India
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.lever.co/brillio-2/40cf0a15-6e54-4a8b-bcf9-5214856136bb

## Job description

Senior AI/ML Engineer

Job requirements Experience Range:

- 2–4 years of experience, including at least 2 years specifically building LLM-based applications, RAG systems, or AI agent workflows Key Responsibilities:
- Design and build end-to-end AI agent workflows, from initial prompt design through production deployment, ensuring scalable and robust solutions
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, embedding models, retrieval ranking, and context window management to maximize information accuracy and retrieval efficiency
- Build and systematically iterate on prompt engineering layers, testing and refining prompts and chain-of-thought strategies to achieve consistent, high-quality outputs across diverse inputs
- Implement tool orchestration within agent workflows by integrating agents with databases, rule engines, validation systems, and formatting tools to automate complex tasks
- Establish automated quality checks and validation layers to proactively catch issues and ensure high output reliability before human review
- Instrument solutions for measurement, collaborating with data scientists to develop evaluation frameworks and track solution performance against defined targets
- Deploy and maintain AI/ML solutions in production environments, focusing on reliability, monitoring, and edge case handling
- Design and implement feedback loops that capture expert review data and translate it into measurable improvements in agent performance Required Skills:
- Advanced proficiency in Python
- Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or similar
- Expertise in prompt engineering and systematic prompt testing
- Deep understanding of RAG architectures, including embedding models, vector stores, retrieval strategies, and re-ranking
- Experience building multi-step agent workflows with tool use, branching logic, and robust error handling
- Experience with production deployment and monitoring of AI/ML solutions
- Experience with data pipeline tools and frameworks (KubeFlow, BentoML, Great Expectations, Evidently AI) Preferred Skills:
- Experience with multi-agent orchestration frameworks
- Background in content generation, translation, or document processing solutions
- Familiarity with fine-tuning LLMs or training reward models
- Experience implementing feedback loops or RLHF mechanisms
- Expertise in LLM cost optimization strategies such as model routing, caching, and prompt compression
- Experience with multi-modal AI systems including voice-to-text, document understanding, and image analysis
- Experience with evaluation frameworks for generative AI, including automated scoring and human evaluation protocols Desired Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Technology, or a closely related discipline
- Certification in Machine Learning or Artificial Intelligence (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty)
- Certification in LLM or generative AI technologies (e.g., OpenAI Certified Engineer, Hugging Face Certified AI Practitioner)

## About Brillio

## Company Overview
- **One-liner**: Brillio is a digital transformation consulting and technology services company that helps Fortune 1000 enterprises accelerate AI adoption and scale impact through its AI accelerator platform, ADAM.
- **Entity Type**: Private (backed by Bain Capital Private Equity)
- **Headquarters**: Dallas, Texas, United States
- **Founded**: 2014
- **Founders**: Not publicly disclosed (CEO: Raj Mamodia)

## Core Business
- **Primary industries**: IT Services and IT Consulting; Digital Transformation; AI and Data Engineering; Customer Experience Transformation; Digital Engineering; Infrastructure Engineering
- **Target customers**: Fortune 1000 enterprises (B2B, Enterprise)
- **Mission / purpose statement**: “The Enterprise AI Accelerator” – helping companies move from AI ambition to scaled impact, faster.

## Products & Services
- **ADAM (Agentic Data and Application Management)**: A self-service LLM model garden and GenAI platform for building, testing, and deploying over a hundred GenAI use cases at scale. Core accelerator for Brillio’s delivery.
- **Business-led transformation**: Strategy consulting and business process modernization.
- **Customer experience transformation**: Design, digital product engineering, and omnichannel experience.
- **AI and data engineering**: Predictive models, enterprise search, RAG systems, AI copilots, autonomous agents, multi-agent workflows.
- **Digital engineering**: Application modernization, platform engineering, cloud-native development.
- **Infrastructure engineering**: Cloud infrastructure, security, MLOps/LLMOps, and observability.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (privately held)
- **Key Metric**: Annual revenue reported at **$1B** (latest available); total employees ~3,941 (+6.7% YoY) per LinkedIn, though company claims “over 6,000 customer-obsessed professionals” on its website.
- **Notable Investors / Partners**: Bain Capital Private Equity (parent company); Great Place to Work® certified in the USA.
- **Growth Signals**: +352 employees YoY; 14 delivery locations across North America, Europe, and Asia; expanding AI engineering roles; 616,797 LinkedIn followers (+24.4% yearly growth).

## Competitive Advantages
- **Enterprise AI focus**: Industrializing AI across every layer of the business – not just building demos but shipping production systems.
- **ADAM platform**: Proprietary accelerator that enables rapid deployment of GenAI use cases, shortening time-to-value for clients.
- **End-to-end ownership**: Engineers design, build, evaluate, and run agentic and GenAI systems that reach live users.
- **Scale and reach**: Global delivery footprint (USA, India, UK, Europe, Mexico, Canada, Romania) with deep Fortune 1000 client relationships.

## Strategic Focus
- **AI engineering at scale**: Moving AI from pilots to production with a focus on agentic systems, LLMOps, evaluation, security, and governance.
- **Continuous learning**: Brillio Academy, hackathons, mentoring, and certifications to keep skills current.
- **Talent development**: Hiring based on demonstrated ability (not just degrees); clear career paths from engineer to AI architect or technical leadership.
- **Diversity & inclusion**: Committed to a diverse, inclusive workplace; no discrimination based on protected characteristics.

## Why Work Here
- **Culture**: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
- **Work environment**: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
- **Learning & growth**: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
- **Remote / hybrid / office**: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
- **Benefits**: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
- **Interview process**: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.

## Sources
1. [careers.brillio.com](https://careers.brillio.com/)
2. [brillio.com/about-us/who-we-are](https://www.brillio.com/about-us/who-we-are/)
3. [linkedin.com/company/brillio](https://linkedin.com/company/brillio)
4. [glassdoor.com/Reviews/Brillio-Reviews-E821879](https://www.glassdoor.com/Reviews/Brillio-Reviews-E821879.htm)
5. [wikipedia.org/wiki/Brillio](https://en.wikipedia.org/wiki/Brillio)

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