You expected to independently build and deploy production-grade AI solutions. Build and deploy AI-powered applications: Design, develop, and maintain AI-first applications, AI agents, agentic workflows, automation solutions, and platform integrations using Python and frameworks such as LangChain, LlamaIndex, n8n, or equivalent technologies.

Develop LLM-powered solutions: Apply hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent frameworks to build reliable, context-aware applications.

Implement tool calling, multi-step workflows, workflow orchestration, and integrations that enable AI agents to retrieve information, execute tasks, and interact with enterprise systems. Familiarity with using AI powered coding tools like Claude Code, Cursor, Codex etc.

Develop modular, scalable, secure, and maintainable software. Contribute across the development lifecycle, from rapid prototyping and proof of concept through testing, deployment, and ongoing optimization of production applications.

Apply modern DevOps practices: Use GitHub, CI/CD pipelines, Docker, Kubernetes, and cloud platforms to support version control, automated testing, deployment, and operational reliability.

Leverage AI-assisted development: Effectively use AI-powered coding tools such as Claude Code, Cursor, Codex, or equivalent tools to accelerate development, improve code quality, and increase engineering productivity.

Build and integrate REST APIs, backend services, and data pipelines connecting platforms, and internal enterprise systems.

Work with AI engineers, product specialists,



and business stakeholders to translate customer and operational needs into practical, scalable AI solutions.

identify risks, dependencies, and edge cases before they surface in production

Troubleshoot complex issues across the full stack and document root cause findings clearly

Follow established governance, architecture, and deployment processes; Demonstrate continuous learning in AI, automation, and integration technologies — this space moves fast and curiosity is part of the job.

Oracle Service Cloud

Salesforce

AI / LLM integration

Snowflake

Microsoft Power BI

Microsoft Power Apps

Cloud-native development

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. video#

Deltek's award winning Support Services team provides best-in-class assistance to Deltek's customers across the world via phone, chat and email. Our diversity and passion is our strength, so however you identify and whatever background you bring, we invite you to explore our team as a potential next step in your career!

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. Equivalent practical experience considered.

Experience: 4–6 years of hands-on experience in software engineering, systems integration,



or a closely related field. Internship and co-op experience counts if it involved real production systems.

Coding: Demonstrable Python, and/or JavaScript experience — a portfolio, GitHub profile, or code sample you can speak to will strengthen your application.

Comfortable working remotely with distributed teams. Language: Solid written and spoken English is essential — much of the collaboration with stakeholders and senior engineers happens asynchronously in writing.

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📌 Senior Software & AI Engineer (India)
🏢 Deltek
📍 India