We are seeking a highly motivated AI Engineer with hands-on experience in Agentic AI solutions and real-world AI deployments. The ideal candidate should possess solid analytical and problem-solving skills, be capable of translating business requirements into technical solutions, and thrive in both product development and operations environments with minimal supervision.

Key Responsibilities • Design, develop, and deploy Agentic AI solutions for business and product use cases.

- Build AI agents, multi-agent workflows, orchestration frameworks, and automation solutions.
- Convert business requirements into scalable technical architecture and implementation plans.
- Collaborate with product, engineering, operations, and client stakeholders to define and deliver AI-driven solutions.
- Evaluate emerging AI technologies and recommend optimal approaches.
- Troubleshoot complex technical challenges and drive root-cause analysis.
- Participate in solution design, architecture reviews, and production support activities.
- Ensure AI solutions meet performance, reliability, security, and scalability requirements.

Required Skills &

Experience • 3–5 years of Agentic AI experience.

- Hands-on experience delivering production-grade Agentic AI solutions.
- Strong experience with LLMs, AI orchestration frameworks,



and prompt engineering.
- Experience with frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
- Proficiency in Python and API integrations.
- Experience with vector databases, RAG architectures, and AI evaluation methodologies.
- Strong analytical thinking, problem-solving, and debugging skills.
- Excellent verbal and written communication skills.
- Ability to work independently with minimal supervision.
- Demonstrated experience working on live production projects.

Preferred Qualifications • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud.

- Exposure to AI governance, security, and compliance considerations.
- Experience in product engineering, managed services, or operations environments.
- Familiarity with MLOps, monitoring, and AI lifecycle management.

Success Profile The ideal candidate:

- Has very good communication skills • Thinks independently and challenges assumptions.
- Can articulate complex technical concepts to both technical and business audiences.
- Demonstrates ownership and accountability.
- Learns quickly and adapts to evolving AI technologies.
- Balances innovation with practical business outcomes.

📌 Artificial Intelligence Engineer (Hyderabad)
🏢 Nat IT Services Private
📍 Hyderabad