AIML Innovation Engineer

VARITE INC; Delhi; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

VARITE India Private Limited invites an AI Innovation Engineer to join our Innovation Program, blending AI/ML research with rapid prototyping to solve real-world engineering problems.

The role focuses on designing POC solutions, building AI pipelines for complex documents, and deploying GenAI/LLM applications within Azure-based tooling, while partnering with stakeholders to demonstrate tangible business value.

Qualifications

• 3–5 years of hands-on AI/ML engineering with delivered POCs or production AI systems.
• Proficiency in Python and libraries: PyTorch, Hugging Face Transformers, OpenCV, scikit-learn.
• Deep practical knowledge of LLMs/GenAI and GenAI application development.
• Experience designing RAG pipelines, vector databases, and embedding strategies.
• Hands-on with Vision LLMs and multimodal models for document/image understanding.

Responsibilities

• Design and execute AI/ML experiments to evaluate feasibility of complex business problems.
• Develop retrieval-augmented generation architectures and LLM-based information extraction.
• Architect multi-agent AI systems and automate data extraction/validation pipelines.
• Prototype end-to-end AI solutions with rapid iterations and stakeholder demos.

Skills

Python

PyTorch

HuggingFace Transformers

OpenCV

scikit-learn

LLMs

GenAI

Azure ML

Azure OpenAI

Vision LLMs

Tools

LangGraph

Semantic Kernel

AutoGen

FAISS

Azure AI Search

Chroma

Job description

Company Name: VARITE India Private Limited

About The Client:

Client is one of the worlds leading professional services firms and the fastest growing Big Four accounting firm

JOB DESCRIPTION

AI Innovation Engineer

ABOUT THE ROLE

We are seeking a talented and driven AI Innovation Engineer to join our dedicated Innovation Program. This is a high-impact role at the intersection of cutting-edge artificial intelligence, domain knowledge, and rapid prototyping. You will work on complex, real-world challenges—experimenting with the latest AI technologies to assess feasibility, demonstrate value, and build proof-of-concept (POC) solutions that can shape the future of our business.

KEY RESPONSIBILITIES

AI/ML Research & Experimentation

• Design and execute AI/ML experiments to evaluate the feasibility of complex business problems.
• Explore and benchmark state-of-the-art models across GenAI, LLMs, Vision LLMs, traditional ML, and Agentic AI frameworks.
• Conduct structured POC development cycles with clearly defined hypotheses, evaluation metrics, and outcomes.
• Develop AI pipelines to extract structured data from complex engineering documents including GA drawings, datasheets, and multi-revision documents.
• Apply computer vision and Vision-Language Models (VLMs) to interpret technical diagrams, symbols, tables, and annotations.
• Build cross-document comparison and revision-diff capabilities using AI/ML techniques.

Generative AI & LLM Applications

• Design and implement Retrieval-Augmented Generation (RAG) architectures tailored to domain-specific engineering knowledge bases.
• Build, fine-tune, and evaluate LLM-based solutions for information extraction, summarization, and Q&A over technical documents.
• Develop prompt engineering strategies, evaluation frameworks, and guardrails for production-grade GenAI use cases.

Agentic AI & Automation

• Architect and prototype multi-agent AI systems capable of reasoning over complex, multi-step engineering workflows.
• Leverage agent orchestration frameworks (e.g., LangGraph) to automate data extraction and validation pipelines.
• Leverage Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, Azure Document Intelligence, and Azure Cognitive Services to build scalable AI solutions.
• Manage experiment tracking, model versioning, and deployment pipelines using Azure ML and MLflow.
• Ensure solutions are cloud-native, cost-efficient, and aligned with enterprise security standards.

Rapid Prototyping & Stakeholder Engagement

• Rapidly prototype end-to-end AI solutions with minimal dependencies, demonstrating tangible business value in short iteration cycles.
• Present POC findings, limitations, and recommendations clearly to both technical and non-technical stakeholders.
• Document methodologies, architecture decisions, and results to build a reusable innovation knowledge base.

REQUIRED SKILLS & TECHNOLOGIES

GenAI / LLMs Azure AI Foundry RAG Architecture Computer Vision

MLflow Semantic Kernel AutoGen Traditional ML

QUALIFICATIONS & EXPERIENCE

• 3–5 years of hands-on experience in AI/ML engineering, with a portfolio of delivered POCs or production AI systems.
• Proficiency in Python and key ML/AI libraries: PyTorch, Hugging Face Transformers, OpenCV, scikit-learn.
• Deep practical knowledge of Large Language Models (LLMs) and GenAI application development.
• Proven experience designing RAG pipelines, vector databases (e.g., FAISS, Azure AI Search, Chroma), and embedding strategies.
• Hands-on experience with Vision LLMs and multimodal models (e.g., GPT-4o, LLaVA, Phi-3 Vision) applied to document or image understanding.
• Strong working knowledge of the Azure AI ecosystem—Azure OpenAI, Azure ML, Azure AI Foundry, Document Intelligence, Cognitive Services.
• Experience with Agentic AI frameworks such as LangGraph, AutoGen, or Semantic Kernel.
• Familiarity with traditional ML techniques (regression, classification, clustering, anomaly detection) and when to apply them.
• Experience working with complex technical documents (engineering drawings, P&IDs, datasheets) is highly desirable.
• Strong ability to rapidly prototype, iterate, and communicate results within tight timelines.

NICE TO HAVE

• Experience in the engineering, EPC, oil & gas, or industrial domain.
• Familiarity with OCR pipelines and layout-aware document models (e.g., LayoutLM, DocTR, Azure Form Recognizer).
• Knowledge of graph-based AI or knowledge graph construction from unstructured engineering documents.
• Experience with MLOps practices: CI/CD for ML, model monitoring, and responsible AI frameworks.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

• 0-2 years INR 5,000
• 2-6 years INR 7,500
• 6+ years INR 10,000

About VARITE:

VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status