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CAREER141
Tech Lead – Backend (AI & LLM Engineering)
CAREER141
Anywhere•Remote•7-10 Yrs•Jul 6
Job description
Remote
Overview
POSITION: Tech Lead – Backend (AI & LLM Engineering)
Responsibilities
- Design, develop, and maintain scalable backend services and APIs.
- Build microservices and event-driven architectures for AI-powered applications.
- Develop secure, reliable, and high-performance RESTful and/or GraphQL APIs.
- Implement authentication, authorization, rate limiting, security controls, and API monitoring.
- Integrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, and open-source models.
- Design and build Retrieval-Augmented Generation (RAG) pipelines.
- Develop and maintain vector search and semantic retrieval systems.
- Build AI agent orchestration workflows and tool integrations.
- Optimize AI inference latency, throughput, scalability, and operational costs.
- Design efficient database schemas and data pipelines for structured and unstructured data.
- Implement caching strategies, asynchronous processing, message queues, and event-driven workflows.
- Develop observability, logging, monitoring, and alerting solutions for AI services.
- Collaborate closely with Frontend Engineers, AI Engineers, DevOps, Product Managers, and Solution Architects.
- Mentor junior backend developers and promote engineering best practices through code reviews and technical leadership.
Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Engineering, or a related discipline.
- Minimum 7 years of professional software development experience.
- Proven experience leading or mentoring backend engineering teams.
- Strong expertise in backend development using:
- Python
- FastAPI
- Java
- Strong understanding of microservices architecture and distributed systems.
- Strong knowledge of databases, API security, authentication, authorization, caching, and asynchronous processing.
- Large Language Models (LLMs)
- OpenAI APIs
- Anthropic APIs
- Google Gemini APIs
- Embeddings
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Semantic Search
- Vector Databases
- Prompt Engineering
- AI Agent orchestration
- Data Science
- Machine Learning
- Artificial Intelligence
- Generative AI
- Lead and mentor backend engineers across multiple projects.
- Drive backend architecture and technical design decisions.
- Conduct code reviews and ensure engineering best practices.
- Promote secure, scalable, and maintainable software development.
- Collaborate effectively with Product, AI, Frontend, QA, and DevOps teams.
- Support continuous improvement and technical innovation across the engineering function.