Senior Software Python Engineer (with ML experience)

Job Description

Must Have:

• Good Python knovledge for production LLM systems (async, APIs, clean architecture)
• Design and implementation of agentic architectures (single/multi-agent, tool-designing, tool-calling, planner–executor patterns)
• Advanced prompt engineering (instruction hierarchy, few-shot prompting, guardrails, templating)
• LLM context optimization (context window management, token budgeting, cost control)
• Conversation history summarization (semantic compression, role-aware summaries, extractive/abstractive methods)
• Agent pre-configuration (fixed personas, scoped tools, hardened prompts, versioned configs)

Job Responsibilities

• Design and deploy production-grade LLM and agentic systems using Python, async pipelines, and APIs
• Develop and optimize agent architectures, including multi-agent workflows, tool-calling, and planner–executor patterns
• Apply advanced prompt engineering and context optimization to improve model quality, latency, and cost
• Build conversation memory and summarization mechanisms using semantic compression techniques
• Define and maintain agent configurations and guarded prompts for reliable production behavior
• Ensure scalability, observability, and robustness of ML systems in production

Department/Project Description

We’re building a platform of cutting-edge Generative AI services that automate the boring parts of software development—from test generation to infra setup. We’re hiring a highly technical software ML engineer with Pthin who lives in code, understands cloud-native stacks (Azure, GCP, Kubernetes, Terraform), and enjoys transforming complex real-world scenarios into reliable solutions. You’ll disover and implement different agentic structures and provide LLM context optimization to make a profitable product.

Skill Category

AI/ML