Job Description

Responsibilities

• Design and implement end-to-end AI solutions for document understanding and automated report generation.
• Build and deploy LLM-based systems, including RAG pipelines, to retrieve and combine context from multiple data sources.
• Work with unstructured and semi-structured data such as PDFs, documents, images, and historical records, transforming it into usable inputs for AI systems.
• Rapidly prototype, test, and iterate on AI solutions to deliver measurable improvements.
• Integrate AI outputs into existing systems via APIs, collaborating with backend teams working in C# and SQL Server environments.
• Ensure solutions are scalable, reliable, and aligned with real-world business workflows.
• Address performance, accuracy, and usability challenges in AI-generated outputs.
• Operate within data privacy and security constraints, including handling sensitive information and exploring local model deployment where required.
• Collaborate with internal teams to understand requirements and refine use cases.
• Communicate technical concepts, trade-offs, and solution approaches clearly to non-technical stakeholders.
• Contribute to shaping the organisation’s approach to AI adoption and best practices.

Requirements

• Proven experience building real-world AI applications using LLMs, particularly RAG or document-based AI systems.
• Strong proficiency in Python for building data pipelines, AI workflows, and integrations.
• Experience delivering end-to-end AI solutions, from concept to production-ready systems.
• Hands-on experience working with unstructured data, including documents such as PDFs and mixed-format sources.
• Demonstrated ability to rapidly prototype and iterate, moving quickly from idea to working solution.
• Experience integrating AI systems into existing applications via APIs
• Experience working in environments with legacy systems and integrating with backend technologies.
• Familiarity with cloud or hybrid environments (Azure, AWS, or similar) for deploying AI solutions.
• Strong problem-solving skills and a pragmatic approach to building solutions that work in practice.
• Ability to communicate effectively with both technical and non-technical stakeholders.

Nice to Have

• Understanding of data privacy and security constraints, including GDPR and handling sensitive data.
• Experience working with locally hosted models or secure AI deployments.
• Strong product mindset with the ability to define approaches, not just execute tasks.
• Experience working in ambiguous or evolving environments
• Interest in helping shape AI capabilities and strategy within a business.
• Experience working closely with cross-functional teams in a collaborative setting.

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Real work-life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters:Mentorship, community, and forums where ideas are shared
• True Belonging: A long-term career where your contributions are valued