Generative AI Engineer

Job Title: AI Engineer

Location: Remote

Exp: 5+years

Job Summary:

We are seeking a Experience with 5+ years of experience. The ideal candidate will have extensive technical expertise in Generative AI The candidate will play a crucial role in designing and implementing innovative solutions that drive business growth and efficiency.

Minimum Qualifications:

5+ years of IT experience.

3+ years in AI/ML, with at least 1-2 years in Agentic AI and multi-agent systems.

Skills & Abilities:

• Proficiency in Python.
• Experience with generative AI frameworks: TensorFlow, PyTorch, LangChain, OpenAI Codex, Claude, Gemini, Hugging Face.
• Strong grasp of ML/DL paradigms including supervised, unsupervised, and reinforcement learning.
• Familiarity with Agentic AI, Agent Observability, and Agent Lifecycle Management
• Knowledge of MCP for context sharing and A2A for agent-to-agent communication.
• Cloud proficiency: AWS, Azure, GCP (especially Vertex AI, Agentspace).
• Understanding of MLOps, AIOps, and DevSecOps for agent deployment and monitoring.
• Ability to evaluate agentic architectures for deterministic vs autonomous use cases.
• Strong collaboration and leadership skills. Excellent communication and stakeholder engagement.

Responsibilities:

• Architect and implement Generative AI and Agentic AI ecosystems using MCP and A2A protocols.
• Design modular, scalable agent frameworks with contextual reasoning, shared memory, and multi-agent orchestration
• Lead development of domain-specific agents and cross-functional agents (e.g., Orchestrator, Collaboration Agent).
• Evaluate agent performance using metrics like time to first token, inter-token latency, and context length.
• Collaborate with product and platform teams to embed agents across enterprise workflows (e.g., SDLC, LMS, CRM, ERP).
• Ensure compliance with security, privacy, and explainability standards.
• Stay ahead of emerging trends in agent marketplaces, agentic proctoring, and autonomous orchestration.