Commitment: Part-Time (2 Hours/Day, Daily)

Location: Remote

Domain: Full stack Engineer with strong background in Python Backend, AI Systems, Cloud Services & DevOps Support, Agentic AI frameworks.

Role OverviewWe are seeking a detail-oriented Technical Support Engineer to provide high-touch, client-facing technical support for two hours per day. In this role, you will be the primary point of contact for troubleshooting backend pipelines, AI orchestration workflows, and continuous deployment environments.

The ideal candidate thrives in diagnosing complex architecture issues, navigating distributed multi-cloud services, and coordinating resolutions through standard engineering ticketing workflows.

Key Responsibilities

- Daily Client Support: Dedicate a focused 2-hour daily window to address client queries, triage technical incidents, and debug pipeline bottlenecks.
- System Troubleshooting: Analyze and resolve issues spanning API layers, asynchronous background tasks, serverless cloud functions, and LLM application logic.
- Testing & • Validation:

Conduct component testing and end-to-end acceptance testing to verify fixes, system stability, and compliance with client specifications.
- Code & • Deployment Review:

Assist in tracking issues across version control repositories, reviewing pipeline rollouts, and verifying artifact delivery.
- Incident Management & • Documentation:

Track, document, and escalate bugs using Jira, maintaining client-facing knowledge bases and post-mortems in Confluence.





Qualifications & • Technical Skills
- Backend & • AI Frameworks:

Proven hands-on experience with FastAPI, LangChain, and Agent Development Frameworks (Google ADK / GenAI SDK).
- Cloud & • Serverless:

Strong working knowledge of AWS services, specifically AWS S3 and AWS Lambda.
- CI/CD & • Delivery:

Familiarity with deployment and workflow automation tools such as Spinnaker and modern deployment runners (e.g., Jules).
- Version Control: Proficiency in navigating and managing complex repository structures across Git, GitHub, and Bitbucket.
- Quality Assurance: Practical experience executing Component Testing and Acceptance Testing in production or staging environments.
- Collaboration Tools: Daily proficiency with Jira for ticket lifecycle tracking and Confluence for technical documentation.
- Problem Solving: Solid analytical capability to trace bugs across intricate, multi-service backend structures.

About InnoSynth
- InnoSynth is an artificial intelligence platform and engineering provider dedicated to building intelligent agent ecosystems and workflow automation solutions. The company enables businesses to automate end-to-end processes, deploying autonomous AI agents across project management, document intelligence (Agentic RAG), code deployment, and enterprise operations. With a focus on scalable cloud deployments and cutting-edge GenAI/LLM pipelines, InnoSynth bridges the gap between sophisticated machine intelligence and real-world enterprise infrastructure.

📌 Agentic AI & AWS Technical Support (India)
🏢 InnoSynth
📍 India