Company specifications:
🗓Company History: 6+ Years
⚙️Company Industry: Technology
🏢Company Size: 11-50 Employees
Your Impact
As an AI Lead, you will play a pivotal role in shaping the architecture, scalability, and performance of production-grade AI systems built on large language models. You will lead the backend engineering efforts in a fast-paced, innovation-driven environment.
- Your expertise in LLM integration, RAG architecture, and backend scalability will directly influence next-gen AI applications’ functionality, reliability, and performance.
- Your excellent prompt engineering skills will enable seamless interaction between models and real-world use cases.
- Your strong leadership and mentoring skills will cultivate a high-performance engineering culture and enable the team to execute with excellence.
What Success Looks Like
In this role, success means designing and delivering high-performance, scalable AI backend systems that integrate seamlessly with LLMs and support real-world applications. You’ll achieve this by applying modern architecture patterns, collaborating across teams, and continuously exploring emerging technologies in the AI ecosystem.
Key Responsibilities Include:
- Leading the design and development of scalable backend systems using Python and FastAPI.
- Implementing and optimizing RAG architectures, prompt processing, and LLM integration.
- Supporting the development and deployment of AI-powered services in cloud-native environments.
- Overseeing database design and data pipelines using PostgreSQL, MongoDB, Redis, Chroma, and ELK Stack.
- Involving yourself in research and practical application of Agentic Systems and Knowledge Graphs.
- Collaborating with AI/ML teams to deliver production-grade systems.
- Documenting architectural decisions and technical standards clearly.
- Mentoring engineers and fostering a high-performance, growth-oriented engineering culture.
- Ensuring best practices in microservices, API gateways, RabbitMQ, gRPC, and CI/CD to deliver seamless operations
What You Bring
To excel in this role:
- You are skilled in Python to design and build scalable, high-performance backend APIs.
- You have proven experience in FastAPI to create efficient, asynchronous services ready for production deployment.
- You demonstrate strong skills in RAG architecture to build intelligent retrieval-augmented generation pipelines.
- You possess expertise in LLM integration to connect and optimize models like OpenAI or Claude within backend systems.
- You demonstrate excellent system design capabilities to ensure high availability and maintainability of services.
- You are skilled in database technologies such as PostgreSQL, MongoDB, Redis, and vector databases to support data-intensive AI applications.
- You have proven experience in containerization and cloud deployment using Docker and platforms like AWS, GCP, or Azure for reliable and scalable operations.
- You demonstrate strong skills in messaging and microservice architecture to manage communication across distributed components using tools like RabbitMQ and gRPC.
- You possess team leadership skills to mentor engineers, guide technical decisions, and deliver results.
- You demonstrate excellent documentation and communication skills to convey architecture, processes, and requirements.
- You are proactive and solution-oriented, capable of identifying challenges early and driving them to resolution.
- You are highly collaborative and thrive in cross-functional environments where diverse ideas lead to better outcomes.
How This Position Elevates Your Career
In this role, you are at the heart of cutting-edge AI technologies, giving you the opportunity to lead critical infrastructure projects and gain valuable hands-on experience in deploying LLM-based systems. It’s a launchpad for rapid career growth, industry visibility, and advancement into senior technical leadership roles.
How this company values your effort
- Professional growth and career advancement
- Supplementary insurance
- Military service exemption for employment
If you’re ready to lead the engineering behind intelligent, scalable AI solutions we’d love to hear from you.
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