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Tech Stack
Tools & technologiesCloudDockerKubernetesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, build, and scale production-grade LLM applications and AI-powered systems that solve real-world enterprise problems.
- Take technical ownership across the full lifecycle of AI systems, from architecture and data pipelines to deployment, evaluation, monitoring, and continuous optimization.
- Work closely with product, software, and business teams to help shape AI-first solutions that create measurable impact.
Requirements
What you’ll need- BSc, MSc, or PhD in Computer Science, Engineering, or a related field
- Strong hands-on experience with Python and modern machine learning frameworks such as PyTorch or TensorFlow
- Proven experience designing, building, and deploying production-grade AI, ML, or LLM-based systems
- Solid understanding of transformer-based architectures and generative AI systems
- Experience adapting, fine-tuning, or optimizing generative models, including open-source LLMs
- Strong understanding of modern LLM system design patterns, including retrieval, tool use, context engineering, evaluation, and agentic workflow orchestration
- Experience with containerization, Docker, Kubernetes, cloud platforms, and CI/CD pipelines
- Experience with at least one orchestration framework or platform for building LLM-based applications
- Familiarity with MLOps practices, including model monitoring, experiment tracking, evaluation pipelines, and production model lifecycle management
- Ability to make sound technical decisions considering scalability, reliability, performance, security, and cost
- Comfortable working with AI-assisted software development workflows and using modern coding agents to accelerate planning, implementation, testing, and iteration
- Strong collaboration and communication skills, with the ability to work effectively across product, engineering, and business teams.
Benefits
Comp & perks- Competitive Compensation & Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.
- Happier Weekdays: We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.
- Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.
- Community & Socials: We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast & lunch get-togethers, movie nights, and our Summer Festival.
- Open Culture: We maintain a flat organizational structure with a culture of direct and open communication.
ATS Keywords
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Hard Skills & Tools
PythonPyTorchTensorFlowTransformer-Based ArchitecturesGenerative AI SystemsModel Fine-TuningLLM System Design PatternsCI/CD PipelinesExperiment TrackingModel Lifecycle Management
Soft Skills
CollaborationCommunication
Certifications
BSc in Computer ScienceMSc in EngineeringPhD in Related Field