Agentic Engineer Level

Jobgether; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobgether, collaborating with a partner company in India, is seeking an Agentic Engineer Level to design and scale production-grade AI agents. You will blend software engineering with prompt engineering to automate complex customer and business workflows, leveraging no-code/low-code platforms and REST API integrations.

You will design prompts, build workflows, and ensure reliable, observable agent performance in real-world scenarios while collaborating with Product, QA, and Delivery teams to

Qualifications

• 4–7 years of professional software Engineering experience.
• Strong fundamentals and the ability to translate requirements into scalable solutions.
• Solid understanding of prompt engineering and LLM behavior.
• Hands-on experience with REST APIs, webhooks, JSON-based integrations, authentication, and data mapping.
• Strong experience with unit testing, debugging, troubleshooting, and root-cause analysis.
• Familiarity with no-code/low-code automation platforms is a plus.

Responsibilities

• Design, develop, and refine high-quality prompts for LLM-based agents with reliable behavior.
• Build and scale agentic tools and workflows using no-code automation platforms.
• Integrate internal and external REST APIs with authentication and data mapping.
• Develop production-ready agent workflows with testing, debugging, and validation.
• Apply resilient engineering patterns like retries, timeouts, and idempotency.
• Collaborate with Product, QA, and Delivery to launch production-grade AI workflows.

Skills

Software engineering fundamentals

Prompt engineering

REST API integration

Testing & debugging

Reliability & fault tolerance

No-code/low-code platforms

Tools

Zapier

n8n

Workato-like platforms

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Agentic Engineer Level based in India.

This is an opportunity to build and scale production-grade AI agents that automate complex customer and business workflows.

You will combine strong software engineering fundamentals with prompt engineering and API-driven automation to create reliable agentic experiences.

The role involves designing LLM prompts, building workflows, integrating external systems, and ensuring autonomous agents perform consistently in real-world scenarios.

You will work with modern no-code and low-code automation capabilities while applying robust engineering principles behind the scenes.

Reliability, performance, cost efficiency, observability, and fault tolerance will be central to the solutions you deliver.

You will collaborate closely with Product, QA, and Delivery teams in a fast-moving environment focused on bringing AI solutions into production.

This role offers the opportunity to contribute directly to the evolution of enterprise AI and intelligent workflow automation.

Accountabilities

• Design, develop, and refine high-quality prompts for LLM-based agents, with a focus on reliable behavior and consistent task execution.
• Build and scale agentic tools and workflows using a no-code automation platform comparable to Workato, Zapier, or n8n.
• Integrate internal and external REST APIs, managing authentication, data mapping, webhooks, JSON payloads, and error handling.
• Develop production-ready agent workflows with appropriate unit testing, debugging, troubleshooting, and validation processes.
• Apply resilient engineering patterns such as retries, timeouts, idempotency, lazy loading, and robust non-happy-path handling.
• Optimize agent workflows for performance, scalability, cost efficiency, reliability, and fault tolerance.
• Identify and resolve workflow failures and integration issues, ensuring dependable operation across different scenarios.
• Collaborate with Product, QA, Delivery, and other technical stakeholders to design, test, and launch production-grade agentic solutions.
• Contribute to engineering best practices and continuously improve the quality, maintainability, and scalability of AI-powered workflows.
• Support monitoring and observability of deployed solutions, identifying opportunities to improve production performance and reliability.

Requirements

• 4–7 years of professional experience as a Software Development Engineer, Software Engineer, or in a comparable engineering role.
• Strong software engineering fundamentals and the ability to translate technical requirements into reliable, scalable solutions.
• Solid understanding of prompt engineering and LLM behavior, including the ability to design prompts that produce consistent and useful agent responses.
• Hands‑on experience working with REST APIs, webhooks, JSON‑based integrations, authentication, and data mapping.
• Strong experience with unit testing, debugging, troubleshooting, and identifying root causes of technical issues.
• Understanding of resilient system design and engineering patterns, including retries, timeouts, idempotency, fault tolerance, and handling non-happy-path scenarios.
• Ability to think systematically about reliability, performance, scalability, and cost when designing automated workflows.
• Strong communication and collaboration skills, with the ability to work effectively across Product, QA, Delivery, and engineering teams.
• A proactive, analytical, and solution-oriented approach to solving complex technical problems.
• Experience with no-code or low-code automation platforms is a plus.
• Exposure to agentic AI, conversational AI, workflow orchestration, or intelligent automation systems is desirable.
• Familiarity with production observability and monitoring practices is an advantage.

Benefits

• Opportunity to work at the forefront of agentic AI and enterprise automation.
• Exposure to LLM-based applications, API integrations, workflow orchestration, and AI-powered customer experiences.
• Opportunity to build and scale production-grade AI agents used to automate complex business processes.
• Fast-paced, technology-focused environment with cross-functional collaboration across Product, QA, Delivery, and Engineering.
• Opportunity to apply and deepen software engineering, prompt engineering, automation, and AI development expertise.
• Experience working with modern no-code/low-code automation technologies alongside established engineering practices.
• Opportunity to contribute to innovative AI solutions designed for large-scale enterprise environments.
• Equal opportunity workplace committed to diversity, inclusion, and fair consideration of qualified candidates.