02 Oct
|
Talentgigs
|
India
Agentic AI Cloud Engineering / MLOPS Engineer
Brief Description: This role will be responsible for developing agentic solutions from
prototype to production, combining LLMs, RAG, tool calling, orchestration frameworks,
cloud AI services, and up-to-date software engineering practices.
• 4+ years of experience in AI engineering, software engineering, data engineering,
ML engineering, cloud engineering, or similar technical roles.
• Hands-on experience building GenAI applications, AI agents, RAG-based
solutions, enterprise search, copilots, or LLM-powered workflow
automation.
• Strong programming skills in Python, with experience building APIs, backend
services, automation scripts, and reusable AI components.
• Strong understanding of LLMs, including prompt engineering, context
engineering, model selection, temperature/top-p settings, context windows,
embeddings, token usage, latency, and cost trade-offs.
• Practical experience with RAG architecture, including vector databases,
embedding models, retrieval strategies, metadata filtering, document
processing,
grounding, and citation-based answers.
• Hands-on experience with multi-agent orchestration patterns, including
supervisor-agent architectures, planner-executor workflows, routing agents,
tool-using agents, evaluator agents, and human-in-the-loop agent flows.
• Experience implementing tool-calling capabilities, allowing agents to interact
with databases, APIs, business applications, documents, and external services.
• Understanding of agent memory design, including session memory, long-term
memory, vector-based memory, user context, conversation history, and
governed memory retention.
• Experience implementing LLM and agent evaluation frameworks, including
accuracy testing, grounding validation, hallucination detection, retrieval quality
assessment, regression testing, adversarial testing, and user feedback
integration.
• Understanding of model governance and responsible AI, including approv
📌 AI Engineer (India)
🏢 Talentgigs
📍 India