Agentic AI Engineer
First seen by Alion on Nov 12, 2026.
How to apply
Apply through Linked-In Easy Apply then login to https://candidate.recruitbots.ai/utm_source=aae-ms-r-i. More detailed instructions on onboarding.
Company: RecruitBots AI
Location: Remote · India
Experience: 3–6 years
Type: Full-time
Salary: 12–22 LPA
About the role
We are looking for an Agentic AI Engineer with 3–6 years of experience to design, build, and improve AI systems that can plan and execute multi-step tasks using tools, APIs, and external data sources.
You will work with engineering and product teams to develop reliable agentic workflows, integrate LLMs with business systems, and evaluate agent behavior in real-world scenarios. The role involves hands-on engineering across orchestration, tool use, memory, retrieval, and production reliability.
Responsibilities
Design and develop AI agents capable of executing multi-step tasks and coordinating tools or services.
Build agent workflows using frameworks such as LangGraph, LangChain, AutoGen, or equivalent
technologies.
Implement tool/function calling, workflow orchestration, state management, memory, and human-in-the-loop controls.
Integrate agents with REST APIs, databases, internal platforms, and third-party services.
Develop RAG pipelines and retrieval components to ground agent responses in relevant data.
Create guardrails, validation steps, fallback paths, and error-handling mechanisms for reliable execution.
Evaluate agent performance across task completion, accuracy, latency, reliability, and cost.
Debug tool failures, looping behavior, incorrect outputs, and orchestration issues.
Collaborate with product and engineering teams to move prototypes into secure, scalable production systems.
Required Skills
3–6 years of experience in software engineering, AI engineering, or a closely related role.
Strong programming skills in Python; familiarity with JavaScript/TypeScript is an advantage.
Hands-on experience building LLM-powered applications and integrating model APIs.
Practical understanding of AI agents, tool calling, multi-step workflows, and orchestration patterns.
Experience with at least one agent framework such as LangGraph, LangChain, or AutoGen.
Understanding of RAG, embeddings, vector databases, and retrieval strategies.
Experience with APIs, backend services, debugging, and version control.
Ability to evaluate and improve the reliability of LLM-driven systems.
Good to Have
Experience with multi-agent systems, planning, routing, reflection, or agent collaboration patterns.
Knowledge of observability and evaluation tools for LLM applications.
Experience with FastAPI, Docker, Kubernetes, or cloud deployment.
Familiarity with Redis, PostgreSQL, MongoDB, or vector databases.
Experience implementing authentication, permissions, guardrails, and secure tool execution.
Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Strong hands-on agentic AI projects and production implementation experience are highly valued.
What We're Looking For
Ability to design agents that solve concrete workflows rather than add unnecessary complexity.
Strong debugging skills and a systematic approach to investigating unpredictable model behavior.
Good judgment around autonomy, validation, and when human approval is required.
Ownership of performance, reliability, and maintainability.
Ability to collaborate across product and engineering teams in a fast-moving environment.