# AI Engineering Tech Lead

**Company:** [Symphony Solutions](http://jobs.workable.com/companies/9o3HSXG1digSEp5ARNTfZQ.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** ___

[Apply for this job](http://jobs.workable.com/view/52b1e900-0d56-434d-af51-fc746d201ee7)

## Description

We are looking for AI Engineering Tech Lead to drive the design and delivery of AI agent systems and multi-agent architectures. This is a technical leadership role combining deep hands-on engineering with technical leadership — guiding architectural decisions, mentoring engineers, and maintaining high standards across the codebase.

## Requirements

-   5+ years of experience in software engineering with a strong focus on AI/ML systems
-   Expert-level Python skills, including async programming and design patterns.
-   Demonstrated experience building AI agents and multi-agent systems using LangChain and LangGraph.
-   Strong practical knowledge of LLM integration patterns: prompt engineering, function/tool calling, retrieval-augmented generation (RAG), embeddings, and vector search.
-   Extensive experience with cloud platforms - AWS and/or Azure - including deployment, scaling, and management of AI workloads.
-   Solid general ML foundation: understanding of model training, evaluation, inference pipelines, and the broader ML development lifecycle.
-   Strong CI/CD pipeline expertise.
-   Hands-on experience with containerization and orchestration in production environments.
-   Practical experience with infrastructure-as-code tools for managing cloud resources reliably and repeatably.
-   Experience implementing AI observability.
-   Proficiency in using AI tools for everyday tasks (Claude Code, Cursor, Advanced prompting, etc)
-   Experience designing and building robust APIs (FastAPI, Flask, or similar) and integrating them into larger system architectures.
-   Proficiency with SQL and NoSQL databases.
-   Ability to lead technical discussions, conduct meaningful code reviews, and mentor team members.
-   Upper-Intermediate English or higher.  
    

**Would be and advantage:**

-   High knowledge of core ML frameworks
-   Hands-on experience with AWS SageMaker and broader AWS ML ecosystem.
-   Solid understanding of the full ML lifecycle.  
      
    

**Responsibilities:**

-   Lead the technical design and architecture of AI agent platforms and multi-agent workflows built on LangChain and LangGraph.
-   Hands-on development of AI agents.
-   Integrate LLMs from providers such as OpenAI, Anthropic, and Azure OpenAI into production-grade agent pipelines.
-   Build and optimize CI/CD, containerization, and infrastructure-as-code practices for the team.
-   Establish and maintain AI observability across agent systems - tracing execution paths, monitoring performance, tracking costs, and surfacing anomalies.
-   Mentor and guide engineers through code reviews, architectural discussions, and knowledge sharing sessions.
-   Collaborate with product managers, solution architects, and stakeholders to align technical implementation with business objectives.
-   Ensure system reliability, scalability, and maintainability through clean architecture, automated testing, and deployment best practices.
-   Contribute to defining engineering standards, development workflows, and documentation practices across the team.
-   Contribute to technical solutions for AI-oriented proposals during pre-sale cycles