We are looking for an experienced AI Engineer who specializes in building agentic systems from task-orchestration agents to workflow automation agents retrieval-augmented agents research coding agents and domain-specific autonomous agents This is a full-stack AI engineering role ideal for someone who loves shipping rapid MVPs reliable production high ownership and fast problem-solving Candidates must have built and deployed at least two AI agents in production in the past 12 months and be comfortable operating in high-velocity environments What You ll Do1 Build Deploy AI Agents Design build and ship agentic workflows across multiple domains research agents coding assistants reasoning agents scheduling agents analytics agents workflow automation bots etc Own the end-to-end lifecycle data ingestion reasoning action taking evaluation monitoring Build multi-step agents capable of autonomous planning context tracking memory tool use and API orchestration 2 Agent Architecture Infrastructure Architect systems using modern agent stacks LangChain LlamaIndex OpenAI Assistants Model Context Protocol MCP custom orchestration Build robust retrieval pipelines RAG vector embeddings caching layers and knowledge-grounding systems Integrate agents with external tools and systems APIs SaaS apps CRMs internal services databases messaging platforms 3 Productionization Deploy agents as microservices with proper observability evals guardrails fallbacks and monitoring Optimize inference cost latency accuracy and task-completion rates Run systematic evaluations function calling accuracy groundedness hallucinations long-context stability 4 Collaboration Product Work Work closely with product managers domain experts and engineers to translate business workflows into agent behaviors Create reusable frameworks and libraries to accelerate subsequent agent builds Document and evangelize agent best practices internally What You Bring Required 4-7 years of hands-on experience in AI ML engineering Successful deployment of at least two production AI agents in the past 12 months not prototypes Expertise in LLMs OpenAI Anthropic Gemini Llama DeepSeek Agent frameworks LangChain OpenAI Assistants custom orchestration state machines Retrieval RAG vector DBs Pinecone Weaviate Chroma PGVector API integration tool-use architectures Python Node for server-side agent logic Microservice deployments Docker Kubernetes CI CD Strong debugging skills across distributed systems prompt engineering inference optimization and agent reasoning traces Comfortable building MVPs in days and scaling them to stable production within weeks months Nice to Have Experience building MCP servers or integrating with MCP tools Experience with structured function-calling workflows JSON schema tool plans agent graphs Background in building internal agent frameworks or automation engines Experience designing evaluation frameworks for agents task completion metrics scenario tests Familiarity with workflow engines Temporal Airflow Prefect Success Looks Like In your first 3-6 months you will Build and deploy multiple agents that solve real business workflows Improve accuracy response quality and reliability of existing agents Establish a reusable internal agent framework to increase build velocity Contribute significantly to cost latency and performance improvements Become a core owner of agentic architecture and experimentation Why Join Us Work directly with founders and senior leaders driving AI-first transformation Build real agents used daily not research prototypes High autonomy high impact environment Opportunity to shape the foundation of agentic systems across the org Competitive compensation massive growth opportunity How to Apply Send your GitHub agent demos or examples of deployed agents to jobs vikara ai Required Please create your profile on Aithors ai to process your application Job Type Full-time Pay 2 500 000 00 - 3 500 000 00 per year Benefits Work from home

📌 Ai Engineer – Agentic Systems (Karnataka)
🏢 Vikara.AI
📍 Karnataka