Senior/Lead AI engineer

Grid Dynamics; Województwo pomorskie; On-site; PLN 280,000 - 360,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Medical insurance

Job summary

Grid Dynamics is seeking a Senior/Lead AI Software Engineer to advance an R&D initiative in meta‑prompting, context engineering, and knowledge management for AI coding agents. You will lead hands‑on development of production‑grade, LLM‑powered apps, build RAG pipelines, and mentor mid‑level engineers in a fast‑paced environment.

The role requires deep expertise in Python/TypeScript, LLM APIs, and containerized microservices, with a focus on scalable AI infrastructure and high‑quality code

Qualifications

• 5+ years of commercial software development experience with production‑grade Python/TypeScript code.
• Strong hands‑on experience integrating major LLM APIs (OpenAI, Claude) into production software.
• Deep expertise in meta‑prompting and context window optimization.
• Experience building and deploying Retrieval‑Augmented Generation (RAG) systems with vector databases.
• Hands‑on experience with LLM orchestration frameworks (LangChain, LlamaIndex) and embedding models.
• Proven ability to build automated testing, evaluation, and observability pipelines for AI/LLM apps.
• Docker proficiency, API design, and CI/CD automation.

Responsibilities

• Design, build, and deploy production‑grade LLM‑powered services, microservices, and APIs using Python and TypeScript.
• Implement meta‑prompting frameworks and prompt optimization techniques for deterministic outputs.
• Develop scalable RAG pipelines and integrate vector databases for deep context engineering.
• Orchestrate LLM workflows connecting multi‑agent tools and domain knowledge bases.
• Implement automated testing, evaluation, and observability pipelines for AI/LLM applications.
• Lead and mentor junior developers, establish coding standards, and perform code reviews.
• Build containerized microservices and CI/CD pipelines with Docker.

Skills

Python

TypeScript

LLM APIs

LangChain

LlamaIndex

RAG pipelines

Tools

Docker

CI/CD

Pinecone

Weaviate

ChromaDB

Job description

We are seeking a Senior / Lead AI Software Engineer to join an advanced R&D innovation initiative building a next‑generation meta‑prompting, context engineering, and centralized knowledge management system for AI coding agents. In this hands‑on engineering role, you will build and implement production‑grade, LLM‑powered applications that provide structured context (rules, skills, workflows, sub‑agents) to guide AI systems in operating with a deep understanding of system architecture, domain constraints, and engineering standards. As a technical lead on the squad, you will write robust code for developer‑facing AI infrastructure, build advanced RAG pipelines, and accelerate project onboarding by reverse‑engineering architecture and domain context, while mentoring mid‑level developers in a fast‑paced R&D environment.

Responsibilities

• Design, build, and deploy production‑grade LLM‑powered services, microservices, and APIs using Python and TypeScript.
• Implement advanced meta‑prompting frameworks (controlling and guiding models through formalized languages) and prompt optimization techniques to ensure deterministic, context‑aware AI outputs.
• Develop scalable Retrieval‑Augmented Generation (RAG) pipelines and integrate vector databases (such as Pinecone, Weaviate, or ChromaDB) for deep context engineering and semantic code search.
• Orchestrate LLM workflows using frameworks like LangChain or LlamaIndex to connect multi‑agent tools, system constraints, and domain knowledge bases.
• Implement automated testing, LLM evaluation, and quality assurance frameworks to benchmark model performance, accuracy, and output consistency.
• Build containerized microservices and automated CI/CD pipelines using Docker to support seamless deployment and sandboxed execution.
• Act as a hands‑on Senior Developer and Mentor, guiding mid‑level engineers, establishing coding standards, and conducting thorough code reviews.

Requirements

• 5+ years of commercial software development experience, with a proven track record of writing production‑grade code in both Python and TypeScript.
• Strong hands‑on experience integrating major LLM APIs (OpenAI, Anthropic Claude) into production software.
• Deep expertise in meta‑prompting (model control via formalized languages), advanced prompt engineering, and context window optimization.
• Practical experience building and deploying Retrieval‑Augmented Generation (RAG) systems using vector databases (e.g., Pinecone, Weaviate, ChromaDB).
• Solid hands‑on experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar) and embedding models.
• Demonstrated experience developing automated testing, evaluation, and observability pipelines for AI/LLM applications.
• Strong proficiency in containerization with Docker, API design, and CI/CD automation pipelines.
• Experience as a Senior/Lead Developer or Technical Mentor in a fast‑paced R&D environment.
• Excellent problem‑solving skills, software engineering discipline, and written/verbal English communication capabilities.

Nice to have

• Experience with multi‑agent architecture, agent orchestration, and progressive disclosure patterns in AI applications.
• Practical knowledge of Model Context Protocol (MCP) or emerging context‑sharing standards for AI agents.
• Hands‑on experience with LLM‑as‑a‑Judge evaluation methodologies and A/B testing frameworks for GenAI systems.
• Experience building developer tools, CLI utilities, or software development kits (SDKs).
• Familiarity with OAuth/OIDC security and enterprise authentication protocols.

We offer

• Opportunity to work on bleeding‑edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well‑equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.