Location: India

Job Type: Full-time, Remote

Experience Level: 4+yrs(Hands-on IC)

About The Role

We are looking for a Senior AI Engineer to help us turn complex, time-consuming workflows into AI capabilities that customers can trust and use in day-to-day operations. The work spans classical machine learning, deep learning, and generative AI. You'll be hands-on across the full lifecycle: shaping the solution, building or configuring models, deploying and keeping them healthy through retraining and strong observability as data and usage evolve.

What makes this role especially interesting is the last mile: taking AI features beyond a single implementation and making them work repeatedly across customers. You'll help harden the patterns that enable secure, reliable, and measurable multi-customer deployments, backed by practical guardrails and evaluation so quality holds up as usage grows.

This role is supported by and collaborates closely with DevOps/MLOps and Data/AI Architecture to deliver production outcomes and establish repeatable standards as the team scales significantly over time. Most of this runs on Azure today, with room to explore OCI as our platform evolves.

Key Responsibilities

Build and deliver AI solutions using ML/DL and GenAI services based on problem needs
Develop and maintain pipelines for training, evaluation, deployment, monitoring, and retraining
Build GenAI applications (e.g., RAG/agents) with strong evaluation and guardrails
Deploy AI workloads for real-time inference and/or batch processing
Implement automated retraining (scheduling/triggers, validation, versioning, rollout)
Scale GenAI-enabled solutions so multiple customers can use them safely and reliably, with multi-tenant controls, guardrails, evaluation, and tuning
Set up model observability: performance metrics, drift detection, data quality checks, alerting, and production troubleshooting
Partner with engineering and platform teams to integrate solutions into production and CI/CD workflows

Requirements

5+ years overall experience in AI/ML engineering, including 2+ years with GenAI/LLM systems
Strong proficiency in Python for model development, automation, and production-grade services
Experience building GenAI applications (e.g., RAG/agents) with evaluation and guardrails
Proven experience running models in production with monitoring, retraining, and observability practices
Hands-on experience with Azure (Azure ML preferred); OCI exposure is a plus
Experience with MLOps practices/tools such as MLflow and CI/CD pipelines
Hands-on experience deploying AI services on Azure using Azure App Service and Azure Container Apps, with monitoring via Application Insights
Experience containerizing services using Docker in production environments
Hands-on experience with orchestration using Apache Airflow (open-source) or Azure-native alternatives (Azure Data Factory / Azure ML pipelines)
Working knowledge of scalable service design (latency/cost optimization, caching, batching, rate limiting)
Experience with deep learning frameworks (PyTorch or TensorFlow) is a plus

Strong communication skills and ability to work effectively in a collaborative environment.

What We Offer

Opportunity to grow your career with a rapidly growing organisation
Exposure to working with a Microsoft gold partner organization with the latest technologies
People first organisation culture
Company Paid Group Mediclaim Insurance for employee, spouse and up to 2 Kids of INR 400,000 per annum
Company Paid Group Personal accidental insurance for employees of INR 1,000,000 per annum
Company Paid & Manager approved Career Advancement Opportunities
Best in the Industry referral bonus policy
29 Paid leaves throughout the year
Company-paid Maternity leaves for female employees

About The Company

We are a global team of innovators and advocates transforming how financial data is captured, stored, and manipulated with our comprehensive suite of automation technology. Our platform seamlessly integrates with your existing ERP for an unrivaled end-user experience. We do the heavy lifting so accounting, procurement, and fundraising teams can do their best work.

PairSoft's aspires to be the strongest procure-to-pay platform for the mid-market and enterprise, with close integration to Microsoft Dynamics, Blackbaud, Oracle, SAP, Acumatica and Sage ERPs.

At PairSoft, we are passionate about innovation, transparency, diversity, and advocating on behalf of our customers and communities we support. We offer exciting career opportunities and a collaborative culture that allows individuals to learn, grow, and create meaningful impact. We are expanding and seeking team players who are eager to jump in and contribute to our rapid growth!

PairSoft is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other protected status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please email us at: [HIDDEN TEXT].

To read our Candidate Data Privacy Notice - including GDPR - click here.

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Senior AI Engineer (ML / Deep Learning / GenAI)