Bits In Glass

Job Summary:

As an AI Developer, you will build the AI-powered components of our solutions — LLM-based extraction, classification, summarisation, NLP, OCR pipelines, RAG patterns, and intelligent automation. You will

partner with the Business Analyst(s) to deeply understand the business problem, with the AI Architect to align on the technical design and reusable framework, and with our Automation Developers to integrate

your AI components into orchestration engines, configurable web interfaces, and end-to-end automated workflows.

Responsibilities:

• Partner with the Business Analyst from the earliest stages of every engagement to understand the business problem, the data flow, the upstream triggers, and the downstream consequences before writing a single line of code.
• Work with the AI Architect to align on the solution design, the reusable framework to be extended, the cloud-native architecture, and the LLM/NLP/OCR approach for each engagement.
• Develop AI-powered components for solutions across Finance & Accounting use cases — invoice and document extraction, contract abstraction, anomaly detection, classification, summarization, conversational interfaces, RAG-based knowledge retrieval and many more.
• Build cloud-native solutions on Microsoft Azure — leveraging Azure OpenAI, Azure AI Services (Document Intelligence, Vision, Language), Azure Functions, Azure Storage, Azure SQL, Service Bus, and Azure API Management — ensuring every solution is scalable and secure by design. You will use Claude and Microsoft 365 ecosystem also depending on the business requirements.
• Implement enterprise-grade logging across every system and user activity, so that every action in production is traceable, observable, and auditable.
• Build solutions that are highly configurable — no static or hard-coded values — with parameters such as processing volume, run schedule, batch size, model temperature, confidence thresholds, and human-in-the-loop split exposed for end-user control.
• Develop and continuously improve a library of reusable LLM components — prompt templates, RAG patterns, document chunking, evaluation harnesses, guardrails, and output parsers — so that no new AI module is written from scratch when an existing one can be extended.
• Collaborate with Automation Developers to ensure every AI solution plugs cleanly into the COE’s orchestration engine, the configurable web interface that shows real-time progress to end users, and the broader automation flow.
• Treat every business problem as an opportunity to ask whether the underlying process can be improved before reaching for an AI hammer — and raise this constructively with the Business Analyst, AI Architect, and stakeholders when you see it.
• Implement responsible AI practices — prompt injection defence, output validation, hallucination grounding, PII handling, content filters, and access controls — because we work with sensitive financial and contractual data.
• Build evaluation harnesses and test sets for every AI component you ship — measuring accuracy, precision, recall, latency, cost, and drift over time.
• Write clean, well-documented, and well-tested code in Python and / or .NET / C#, with appropriate unit tests, integration tests, and CI/CD pipelines on Azure DevOps.
• Support UAT and production cutover alongside the Business Analyst and Automation Developers, debug production issues quickly, and contribute to post-go-live hypercare

Must Have Skills:

• 5 to 10 years of overall software development experience, with a meaningful portion of the last
• 2–3 years dedicated to building production AI / GenAI / NLP / OCR solutions.
• Hands-on production experience with Large Language Model APIs — Anthropic Claude, OpenAI /
• Azure OpenAI, or equivalent — including prompt engineering, structured output extraction, function / tool calling, and streaming.
• Working experience with Retrieval-Augmented Generation (RAG) patterns — embeddings, vector stores (Azure AI Search, Pinecone, FAISS, or equivalent), chunking strategies, hybrid search, and retrieval evaluation.
• Hands-on experience with at least one OCR / Document Intelligence platform — Azure AI Document Intelligence (Form Recognizer), AWS Textract, Google Document AI, or equivalent — including post-OCR LLM-based extraction and validation.
• Strong programming skills in Python and / or .NET / C#, with practical experience writing production-grade, maintainable, well-tested code.
• Hands-on experience building cloud-native applications on Microsoft Azure — Azure Functions, AKS, Azure Storage, Azure SQL, Cosmos DB, Service Bus, Event Grid, Azure API Management — with a strong appreciation for scalability and security.
• Working understanding of microservice architecture, RESTful APIs, asynchronous messaging, and event-driven patterns.
• Demonstrable experience implementing structured logging, observability, and monitoring — Azure Monitor, Application Insights, Log Analytics, or equivalent — in production systems.
• Experience designing and implementing configurable systems — externalized configuration, feature flags, parameterised workflows — so end users can adjust operational metrics without a developer touching code.
• Experience integrating AI components into orchestration engines and workflow platforms (e.g. Azure Logic Apps, Durable Functions, Power Automate, Camunda, Airflow, or RPA platforms such as UiPath / Power Automate Desktop / Blue Prism).
• Comfort building or contributing to web interfaces (React, Blazor, or equivalent) that display progress, exceptions, and end-user controls in real time. This is not a mandatory requirement but will be an advantage.
• Strong understanding of responsible AI — prompt injection, hallucination, grounding, PII handling, evaluation, and guardrails — with a track record of applying these in production code.
• Experience with CI/CD on Azure DevOps or GitHub Actions, Git-based workflows, and basic DevOps / MLOps / LLMOps practices.
• Working knowledge of Agile / Scrum delivery.

Good to Have Skills:

• Exposure to or genuine interest in Finance & Accounting business processes is a strong plus. Prior experience in real estate, fintech, banking, shared services, or finance transformation.
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, Azure Developer Associate, or equivalent.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.

Why choose us?

Bits in Glass is a leading software consulting firm specializing in innovative data solutions and enterprise applications.

• Industry Leader:

1. Bits in Glass(BIG) has been in business for more than 20 years. In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.
2. Offices across three locations in India: Pune, Hyderabad & Chandigarh.
3. Specialized Pega partner since 2017, delivering Pega solutions with deep industry expertise and experience.
4. Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.
5. Elite Appian partner since 2008, delivering Appian solutions with deep industry expertise and experience.
6. Operating in the United States, Canada, United Kingdom, and India.
7. Dedicated global Pega CoE to support our customers and internal dev teams.
8. Specializes in Databricks, AI, and cloud-based data engineering to help companies transition from manual to automated workflows.

• Employee Benefits:

1. Career Growth: Opportunities for career advancement and professional development.
2. Challenging Projects: Work on innovative, cutting-edge projects that make a global impact.
3. Global Exposure: Collaborate with international teams and clients to broaden your professional network.
4. Flexible Work Arrangements: Support for work-life balance through flexible working conditions.
5. Comprehensive Benefits: Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.
6. Learning Opportunities- Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.

• Company Culture:

1. Collaborative Environment: Emphasizes teamwork, innovation, and knowledge sharing.
2. Inclusive Workplace: Values diversity and fosters an inclusive environment where all ideas are respected.
3. Continuous Learning: Encourages professional development through ongoing learning opportunities and certifications.

• Core Values:

1. Integrity: Commitment to ethical practices and transparency in all business dealings.
2. Excellence: Strive for the highest standards in everything we do.
3. Client-Centric Approach: