Agentic AI Engineer | ZEXOVO

Location: Remote, India

Experience: Minimum 2 years of relevant experience

Employment Type: Full-time

Starting Salary: ₹20,000 per month, with increments based on performance, contribution, and company growth.

About the role

At ZEXOVO, we’re building AI products that automate business workflows and reduce repetitive work.

With our frontend and backend foundations already in place, we’re looking for an Agentic AI Engineer to build the intelligence layer: autonomous agents, LLM workflows, tool integrations, memory systems, and AI automation pipelines.

You’ll work closely with our product and engineering teams to develop AI systems that understand context, execute tasks, and deliver reliable results.

What you’ll build

- AI agents that use tools, APIs, and business applications to complete tasks.
- Multistep workflows with planning, execution, validation, and error recovery.
- Multi-agent systems with coordinated responsibilities and task handoffs.
- Memory systems for contextual interactions across sessions.
- RAG pipelines using documents, knowledge bases, and vector databases.
- AI capabilities powered by Amazon Bedrock, including model integration, agent workflows, and knowledge retrieval.
- Automation triggered by user requests, application events, and scheduled tasks.
- Human approval workflows for sensitive or consequential actions.
- Monitoring and evaluation pipelines to measure accuracy, task completion, latency, and cost.

Key responsibilities

- Translate business requirements into practical AI workflows.
- Build and maintain Python services and APIs for AI functionality.
- Integrate foundation models through Amazon Bedrock and other LLM providers.
- Work with Amazon Bedrock Agents, Knowledge Bases,



and Guardrails, where appropriate.
- Design prompts, tool definitions, structured outputs, and context management strategies.
- Connect agents to backend systems, databases, and external services.
- Implement retries, timeouts, fallback paths, and safeguards against duplicate actions.
- Apply access controls, secure credential handling, and protection against prompt injection.
- Test workflows against realistic scenarios, edge cases, and failures.
- Optimize model selection, token usage, response times, and infrastructure costs.
- Collaborate with frontend, backend, and product teams to ship integrated features.
- Document architecture, deployment steps, and technical decisions.

What we’re looking for

- Minimum 2 years of relevant experience in AI/ML engineering or software engineering with substantial hands-on LLM development.
- Strong Python programming skills.
- Hands-on experience with Amazon Bedrock and integrating foundation models into applications.
- Familiarity with AWS services such as Lambda, S3, IAM, CloudWatch, API Gateway, and Step Functions.
- Experience with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
- Understanding of tool calling, structured outputs, agent orchestration, and memory management.
- Experience with embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
- Experience integrating REST APIs,



webhooks, and authentication flows.
- Familiarity with FastAPI, asynchronous programming, and backend services.
- Robust debugging skills and experience with Git and collaborative development.
- Ability to take AI features from prototype through deployment and ongoing improvement.
- A portfolio, GitHub repository, or project walkthrough demonstrating relevant work.

Nice to have

- Experience with Amazon Bedrock AgentCore, including deploying and operating agents.
- Familiarity with Amazon OpenSearch, Aurora PostgreSQL with pgvector, DynamoDB, or ElastiCache.
- Experience with Amazon SageMaker, model evaluation, or model customization.
- Familiarity with Model Context Protocol (MCP) and reusable tool integrations.
- Voice AI experience involving speech-to-text, text-to-speech, or real-time voice agents.
- Experience with document processing, OCR, and multimodal AI.
- Familiarity with Docker, CI/CD, and AWS deployment.
- Experience with agent tracing, observability, and automated evaluations.
- Experience building SaaS products or working in a startup environment.

Who will thrive in this role

- You enjoy building AI systems that solve practical business problems.
- You can identify when an agent is useful and when a simpler workflow is sufficient.
- You take ownership, communicate blockers early, and work independently.
- You care about reliability, security, user experience, and measurable results.
- You’re comfortable learning quickly and collaborating with a remote team.

Compensation and growth The starting salary is ₹20,000 per month, with opportunities for increments based on performance, ownership, contribution, and company growth.

📌 Agentic AI Engineer | ZEXOVO (India)
🏢 zexovo
📍 India