Artificial Intelligence Engineer

important Note (Please Read Before Applying)

🚫 Do NOT apply if:

• You have less than 5 years of Strong proficiency in Python for backend and AI development. experience.
• You do not have hands-on MCP experience.
• You are on a notice period longer than 15 days.
• You are looking for remote only (role is

  hybrid in Hyderabad, Chennai, Pune ,Bangalore

  ).
• You are a fresher or from unrelated backgrounds (e.g., Java-only, Testing-only, Support).

ALL criteria

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Location:

Experience:

Employment Type:

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About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Job Description

AI Sr. Developer : We are looking for a hands-on Senior Developer with deep expertise in AI and GenAI technologies to build and deploy agentic applications that automate workflows, enhance decision-making, and deliver intelligent user experiences. You will work across multiple domains—HR, finance, healthcare, recruitment—developing autonomous agents powered by LLMs and integrated with enterprise systems.

Roles & Responsibilities:

· Build and deploy agentic applications using LLMs and agentic frameworks.

· Develop MCP-compatible servers and integrate agents with enterprise systems (e.g., ERP, CRM, HCM).

· Fine-tune models and optimize agent workflows for performance and reliability.

· Design agent evaluation pipelines and scoring logic.

· Conduct functional, regression, and adversarial testing.

· Implement observability dashboards and feedback loops.

· Work with cross-functional teams including product managers, data scientists, and business stakeholders.

· Participate in demos, solution walkthroughs, and stakeholder engagements.

· Mentor junior developers and contribute to internal capability building.

Mandatory Skills:

Strong proficiency in Python for backend and AI development.

•Agentic Frameworks: Experience with LangGraph, AutoGen, CrewAI, or similar frameworks.

Cloud Platforms: Proficiency in one of the cloud platfrom and associated GenAI services AWS (Bedrock, Lambda, Cognito), Azure, or GCP.

Evaluation & Testing: Experience in agent evaluation, scoring functions, and debugging tools.

•Proven experience in designing and building AI/ML systems, including GenAI agents, RAG pipelines, and LLM orchestration.

•Expertise in AWS (Bedrock, SageMaker, Inferentia) or Azure OpenAI, or Google Vertex AI.

•Containerization & Deployment: Familiarity with Docker, Kubernetes, and CI/CD pipelines for scalable deployment.

•Understanding of GDPR, CCPA, and responsible AI principles including bias mitigation and explainability.

•Experience integrating AI systems with MCP servers, APIs, and enterprise data sources.

•Data Engineering: Experience with vector databases, graph databases, and ingestion pipelines.

Preferred Skills:

AI/ML certifications from AWS, Azure, or Google Cloud are a plus.