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Software Developer AI AIGent
Job Location:
Monthly Salary:
Posted:
29 September 2026 (11 hours ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Description: Developer AI
Experience: 3 Years
Role Overview
We are seeking a visionary to help us with our next-generation Automotive Infotainment (IVI) systems test automation framework using high capability AI driven approach. You will also be part of our AI-driven test automation strategy integrating LLMs and Agentic AI workflows to design automation frameworks.
This is a hands-on hybrid role requiring individual coding contribution framework design review cross-functional stakeholder management and technical mentorship for a growing engineering team.
Responsibilities
- Develop and improve the overall system architecture (agent orchestration tool integration extension)
- Design build and review new agents and capabilities within the framework
- Diagnose and fix bugs across the agent pipeline
- Introduce and maintain observability for agentic workflows (tracing agent tool calls token failure modes)
- Build and maintain evaluation pipelines
Required skills
- Strong professional Python experience (production grade code tests CI/CD packaging)
- Solid software architecture skills be able to design maintainable and modular systems
- Comfortable to work with APIs async code integrate 3rd party services and tools and collaborate with various external teams
- Practical experience building multi-step or multi-agent systems with a framework such as LangChain LangGraph Semantic Kernel AutoGen/AG2 CrewAI or an equivalent custom orchestration layer
- Solid understanding of tool/function calling structured output and how to design reliable agent-to-tool interfaces
- Experience with prompt engineering: versioning prompts testing them systematically understanding failure modes (hallucination tool misuse context loss) and mitigating them
- Working knowledge of context management techniques (chunking RAG memory strategies) and their trade-offs not necessarily building embeddings/vector infra from scratch but knowing when and how to use it
- Experience setting up or using LLM observability tooling (e.g. LangSmith Langfuse OpenTelemetry-based tracing Arize or in-house equivalents) to debug agent runs in production
- Experience designing or running evaluation frameworks for LLM/agent output quality (e.g. LLM-as-judge golden datasets regression suites automated scoring)
- Awareness of cost/latency trade-offs between models and how to design systems that use the right model for the right step
- Comfortable reading model provider docs/API changes (OpenAI Azure OpenAI Anthropic etc.) and adapting the system accordingly
Required Experience:
Senior IC
