AI Engineer at InvoiceCloud

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C#, AI, ML, LLM, Azure OpenAI, LangChain, Semantic Kernel, FastAPI, Vector Databases, Model Evaluation, Inference Optimization, Observability, AI Pipelines, APIs, Monitoring Solutions

Industry

Financial Services

Description

About InvoiceCloud: InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com. Job Details The AI Engineer designs, builds, and optimizes AI- and ML-powered capabilities that increase intelligence and automation across the InvoiceCloud platform. This role delivers production-grade AI features, improves modern AI architecture, and advances experimentation, deployment, and performance of AI systems at scale. The AI Engineer collaborates closely with engineering, product, and platform teams to translate requirements into reliable, scalable solutions while improving developer productivity through reusable components, frameworks, and automation. Success Profile At InvoiceCloud, success is anchored in our core competencies. These competencies guide how every employee delivers impact across their role Takes Ownership Owns delivery of complex AI-driven product features from design through production. Builds and maintains secure, reliable AI pipelines, APIs, and monitoring capabilities. Troubleshoots and resolves model performance, inference, and deployment issues in production environments. Partners with engineering and product teams to ensure solutions are delivered accurately, consistently, and on schedule. Maintains accountability for system reliability, observability, and long-term maintainability. Drives Efficiency Improves model accuracy, scalability, latency, and operational performance through disciplined optimization. Designs reusable AI components, services, and frameworks that accelerate development and reduce rework. Implements and refines MLOps workflows to streamline experimentation, testing, and deployment. Uses automation and tooling to increase developer productivity and reduce manual effort. Applies data-driven evaluation and monitoring to ensure continuous improvement. Innovative Experiments with GenAI and LLM frameworks such as LangChain, Semantic Kernel, and Azure OpenAI. Researches and applies emerging AI techniques to enhance platform intelligence and automation. Uses AI-assisted tools to accelerate prototyping, testing, and iteration. Identifies new opportunities where AI can deliver measurable product and operational impact. Contributes to evolving AI architecture patterns and best practices across the platform. Customer Centric Designs AI capabilities that improve user experience, operational outcomes, and product value. Incorporates feedback loops, evaluation metrics, and usage data to refine model behavior over time. Ensures AI solutions align with responsible AI standards, security requirements, and compliance expectations. Collaborates with cross-functional partners to ensure AI features solve real customer problems. Requirements 5+ years of software engineering experience, with 2–3 years building AI, ML, or LLM-based applications Hands-on experience deploying AI models into production environments Strong proficiency in Python and familiarity with C# Experience with Azure OpenAI, LangChain, Semantic Kernel, FastAPI, and vector databases Experience implementing retrieval-augmented generation (RAG) or vector search systems Strong understanding of prompt engineering, model evaluation, inference optimization, and observability Experience designing and operating AI pipelines, APIs, and monitoring solutions Strong analytical, communication, and collaboration skills InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws. This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training. If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact jobs@invoicecloud.com. Click here to review InvoiceCloud’s Job Applicant Privacy Policy. For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.

Responsibilities

The AI Engineer designs, builds, and optimizes AI- and ML-powered capabilities for the InvoiceCloud platform. This role involves delivering production-grade AI features and collaborating with various teams to create reliable and scalable solutions.