Senior Backend & AI Engineer (Python)

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SeniorZdalnie·WarszawaFull-time·B2B

#472503·Dodano 2 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Python LanggraphLangMemqdrantPostgreSQL Docker

Podsumowanie oferty

Build and develop the core architecture of an AI career coach feature for an HR-tech product that helps candidates assess their skills and prepare for interviews. Own the backend architecture, APIs and microservices, and build AI agents and stateful LLM conversational flows, primarily with Python.

Wymagania

5+ years of experience in back-end development with Python.
Proven hands-on experience building AI agents, orchestrating complex LLM workflows, and deploying RAG pipelines.
Experience with advanced AI orchestration and memory management frameworks such as LangGraph and LangMem.
Experience with vector search engines such as Qdrant for high-performance data retrieval and artifact management.
Experience optimizing latency for LLM streaming and database queries.
Strong ownership, including the ability to conduct independent research, solve problems, and unblock yourself autonomously.
Strong knowledge of PostgreSQL and experience working with object-relational mappers (ORMs).
Experience in early-stage startups or building systems from scratch in a fast-paced environment.
Proactive, highly autonomous, disciplined, able to maintain organized workflows, and respectful of established team processes.
Result-oriented, hard-working, and ambitious.
Strong English (B2 or higher).

Nice to have:

Experience with TypeScript, NestJS, or React, and willingness to contribute across the stack if necessary.
Knowledge of CI/CD pipelines and containerization with Docker.
Experience with message brokers such as NATS for microservices communication.
Experience in performance optimization and working with high-load or data-intensive systems.
Expertise with subscription-based or B2B/B2C SaaS.

Obowiązki

Design and implement scalable, secure, and efficient back-end services primarily in Python.
Architect and develop advanced AI agents and stateful LLM conversational flows, managing short-term session context and long-term memory extraction.
Build logic to evaluate user interactions and implement structured data pipelines to save, transcribe, and serve real-time session histories and system analytics.
Own technical decisions for backend architecture, APIs, and microservices design.
Explore and evaluate new tools, frameworks, and infrastructure to improve the product and infrastructure stack.
Collaborate closely with product managers, designers, and front-end engineers to deliver features.
Proactively identify tech issues, lead the research, and resolve complex architectural bottlenecks.
Help establish engineering best practices, code quality standards, and technical documentation as the company scales.

On The Spot Development

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