Senior Agentic AI Engineer – Data PlatformsJob Type: Full-Time

Location: Gurugram

Work Mode: Work from Office – 5 Days a Week

Experience: 5–7 Years

Shift: UK Shift – 2:00 PM to 11:00 PM IST

Important Candidate RequirementCandidates must have the designation/title “Agentic AI Engineer” in their current or previous experience. Profiles without Agentic AI Engineer as a designation will not be considered.

About the RoleWe are looking for a Senior Agentic AI Engineer with 5–7 years of experience in building enterprise-grade AI-powered data platforms, intelligent automation solutions, and AI agents. The ideal candidate will have strong hands-on expertise in Generative AI, Agentic AI, Python, Snowflake, and AI agent development, along with experience integrating AI solutions with enterprise systems and cloud platforms.

Key Responsibilities

- Design, develop, and deploy Agentic AI solutions using Generative AI and Large Language Models (LLMs).
- Build intelligent AI agents, multi-agent workflows, and autonomous automation solutions.
- Develop scalable Python-based backend services, applications, and REST APIs.
- Design and implement data solutions using Snowflake, including data warehouses and data pipelines.
- Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
- Develop and optimize prompts, AI workflows, model performance, and response quality.
- Implement RAG-based solutions, vector search, and AI-powered data retrieval where applicable.
- Collaborate with data engineering, technology, and business teams to deliver enterprise AI solutions.
- Follow software engineering best practices, Agile methodologies, version control, and CI/CD processes.
- Monitor, troubleshoot, and continuously improve AI applications for scalability, reliability, and performance.





Mandatory Skills
- Generative AI / LLMs / Agentic AI
- AI Agent Development
- Python
- Snowflake
- Prompt Engineering
- REST APIs
- SQL
- Data Engineering
- Experience with at least one cloud platform: AWS / Azure / GCP
- Git / Version Control

Preferred Skills
- LangChain / LangGraph
- OpenAI / Azure OpenAI
- RAG (Retrieval-Augmented Generation)
- Vector Databases
- Docker / Kubernetes
- Apache Airflow
- MLflow
- CI/CD
- Multi-agent systems and AI orchestration frameworks

Required Experience
- 5–7 years of overall experience in AI Engineering, Data Engineering, or related technology domains.
- Strong hands-on experience with Generative AI, Agentic AI, Python, and Snowflake.
- Proven experience developing and deploying AI agents and intelligent automation workflows.
- Experience working with enterprise data platforms, APIs, databases, and cloud environments.
- Immediate joiners or candidates with a short notice period are preferred.

Soft Skills
- Strong communication and interpersonal skills.
- Excellent problem-solving and analytical abilities.
- Stakeholder management skills.
- Ability to collaborate effectively with cross-functional teams.
- Strong ownership and ability to work in a fast-paced workplace.

EducationBachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. Key Screening CriteriaMust Have: Agentic AI + Generative AI/LLMs + Python + Snowflake + AI Agent Development.

Designation Requirement: The candidate’s current or previous designation must specifically be “Agentic AI Engineer.” Candidates with only titles such as AI Engineer, GenAI Engineer, ML Engineer, Data Engineer, or Python Developer should not be considered unless their employment designation explicitly includes Agentic AI Engineer.

📌 Senior Agentic AI Engineer (5+ yrs) (Gurugram)
🏢 MindBrain
📍 Gurugram