AI Engineering Tech Lead at Symphony Solutions

ABOUT THE PROJECT

We are looking for an 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.
– High knowledge of core ML frameworks would be an advantage
– Hands-on experience with AWS SageMaker and broader AWS ML ecosystem would be an advantage.
– Solid understanding of the full ML lifecycle would be an advantage.

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.

WHAT WE OFFER

– Workation
– Laptop as a gift
– Symphony Academy
– Medical insurance
– NEO Program
– Loyalty Program
– Team Buildings
– 30 days of vacation

COMPENSATION & BENEFITS

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