Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 20-24 Lacs PA

We are looking for a Senior AI Engineer to build and deploy AI-powered digital products and intelligent solutions for Paper Intelligence initiatives. The role focuses on developing GenAI, Agentic AI, and RAG-based applications that improve business processes, document intelligence, knowledge management, and commercial operations.

You will collaborate with architects, product teams, and business stakeholders to deliver scalable, secure, and production-ready AI solutions.

Key Responsibilities

- Design, develop, and deploy LLM-powered applications and AI services.
- Build and optimize RAG pipelines, including document ingestion, embeddings, vector search, and response grounding.
- Develop agentic workflows using frameworks such as LangChain, Semantic Kernel, AutoGen, or similar tools.
- Build APIs and backend services using Python, FastAPI, Azure Functions, and containerized environments.
- Implement solutions using Azure OpenAI, Azure AI Studio, Azure AI Search, and related AI platforms.
- Integrate AI capabilities with enterprise systems, workflows, and business applications.
- Implement monitoring, logging, and observability using Azure Monitor, OpenTelemetry, Datadog, or similar tools.
- Participate in design reviews, testing, deployment, and production support.
- Create reusable AI assets, prompt templates, and engineering accelerators.
- Continuously improve performance, reliability, scalability, and cost efficiency of AI solutions.

Required Qualifications





- 4–6 years of experience in Software Engineering, AI/ML Engineering, or AI Solution Development.
- Hands-on experience building and deploying GenAI or LLM-powered applications.
- Strong expertise in Python and backend application development.
- Experience with Azure OpenAI, OpenAI APIs, Azure AI Studio, AWS Bedrock, Vertex AI, or similar platforms.
- Strong understanding of RAG, embeddings, vector databases, and semantic search.
- Experience with LangChain, Semantic Kernel, AutoGen, or equivalent orchestration frameworks.
- Experience with Azure Functions, FastAPI, Docker, GitHub, and Azure DevOps.
- Knowledge of CI/CD, containerization, automated testing, and secure deployment practices.
- Familiarity with monitoring and observability platforms.
- Strong problem-solving, communication, and stakeholder collaboration skills.

Preferred Qualifications

- Experience with multi-agent systems and advanced AI workflow orchestration.
- Exposure to MCP, A2A communication, or distributed agent architectures.
- Familiarity with Microsoft AI Foundry, Azure ML, or Copilot Studio.
- Experience with enterprise integrations, API management, and event-driven architectures.
- Knowledge of AI governance, model evaluation, prompt safety, and cost optimization.
- Working knowledge of TypeScript or C# is an advantage.
- Experience supporting AI products in a build-own-operate environment.

What We're Looking For

- Robust engineering mindset with a passion for AI-driven products.
- Ability to convert business requirements into scalable technical solutions.
- Excellent collaboration and communication skills.
- Ownership-driven professional focused on quality, innovation, and continuous improvement.

📌 Senior Artificial Intelligence Engineer (Bengaluru)
🏢 ICE
📍 Bengaluru