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Job Title:

Generative AI Engineer

Company: HCLTech

Location: Nagpur, Maharashtra

Created: 2026-01-26

Job Type: Full Time

Job Description:

Exp-5+ yearsLocation-NagpurWe are looking for a Generative AI Developer who can design and implement GenAI-powered features, develop intelligent AI agents, and deploy end-to-end GenAI solutions leveraging cloud AI services. This role focuses on solution integration and orchestration, not model training, and requires hands-on experience with platforms like GitHub Copilot, GHCP, and enterprise-grade AI ecosystems.Key Responsibilities- Develop GenAI-driven features for applications and workflows. - Build and integrate AI agents for automation and conversational interfaces. - Deploy GenAI solutions (not raw models) into production environments ensuring scalability and security. - Work with cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI) for model hosting and orchestration. - Implement prompt engineering, context management, and guardrails for safe AI usage. - Collaborate with product teams to design user-centric AI experiences. - Optimize solutions for cost, latency, and compliance. - Stay updated on GenAI frameworks, Copilot integrations, and emerging best practices.Required Skills & Qualifications- Education: Bachelor’s in Computer Science, AI/ML, or related field. - Experience: 2–3 years in AI/ML development, with at least 1 year in GenAI solution deployment. - Strong proficiency in Python and API integration. - Hands-on experience with GitHub Copilot, GHCP, and AI-assisted development tools. - Familiarity with Strands Agents framework, CrewAI, Azure's Agents-framework, GCP's Agent Development Kit, and certification in prompt engineering - Experience deploying solutions using Azure AI, AWS, or GCP. - Understanding of security, compliance, and ethical AI principles.Preferred Skills- Knowledge of RAG pipelines and vector databases. - Experience with workflow automation using AI agents. - Exposure to CI/CD, Docker, and Kubernetes for solution deployment. - Familiarity with enterprise AI governance and cost optimization strategies.

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