Engineering Manager

Description :

We're looking for an Engineering Manager to lead a team of backend and AI engineers building high-performance, scalable systems that power our next-generation [product/platform]. You'll drive technical excellence, mentor engineers, and collaborate closely with product, data science, and DevOps teams to deliver robust backend services and intelligent AI-powered solutions.

The core responsibilities for the job include the following :

Leadership and Management :

- Lead, mentor, and grow a team of backend and AI engineers.

- Foster a culture of ownership, innovation, and technical excellence.

- Collaborate with cross-functional teams (Product, Data Science, ML Ops, and Infrastructure) to align technology efforts with business goals.

- Conduct regular 1:1s, performance reviews, and technical development plans.

Technical Delivery :

- Oversee the design and development of scalable backend architectures, APIs, and microservices.

- Guide the integration of AI/ML models into production systems, ensuring performance, reliability, and maintainability.

- Establish best practices for code quality, testing, deployment, and observability.

- Collaborate on system design, architecture decisions, and technical roadmaps.

- Balance engineering velocity with technical debt management and system reliability.

AI Development Oversight :

- Work closely with AI/ML teams to bring research and prototypes into production.

- Define and manage infrastructure requirements for model training, serving, and monitoring.

- Ensure data pipelines and APIs support machine learning workflows efficiently.

- Stay current with emerging AI frameworks, cloud services, and backend technologies.

Requirements :

- 10+ years of hands-on backend development experience.

- 2+ years of experience leading or managing engineering teams.

- Strong expertise in one or more backend technologies : Python, Go, Java, or Node.js .

- Experience with NLP and generative AI libraries : Hugging Face Transformers, LangChain, OpenAI API, RAG pipelines

- Experience with LLMs (Large Language Models) prompt engineering, fine-tuning, and inference optimization.

- Proven experience designing distributed systems, APIs, and microservices (e. g., using gRPC, REST, Kafka, or GraphQL).

- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).

- Solid understanding of software architecture, DevOps practices, and CI/CD pipelines.

- Excellent communication and leadership skills.