Theme: Scalable Systems & Technical Leadership
- Design and deliver scalable AI and GenAI systems combining ML models, LLMs, retrieval, orchestration, and data pipelines
- Lead solution design for complex, ambiguous problems where requirements and success criteria evolve
- Make architectural trade-offs across model selection, retrieval strategies, cost, latency, and scalability
- Drive solutions from proof-of-concept to production-grade systems used across multiple teams
- Act as a technical anchor for high-impact AI initiatives, guiding implementation without formal people management
- Ensure robustness, observability, and optimization of AI systems in real-world environments.
- Role Requirements:
5–8 years of overall software engineering experience.
3+ years of hands-on experience building AI/ML or Generative AI solutions.
Robust expertise in Python and modern software engineering practices.
Experience designing and deploying large-scale distributed systems.
Strong understanding of:
- Machine Learning fundamentals
- Deep Learning concepts
- LLMs and Generative AI architectures
- Vector search and semantic retrieval
- Prompt engineering techniques
- AI system evaluation methodologies
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience building APIs and microservices for AI applications.
Strong problem-solving and system design skills.
Location:
DGS India - Mumbai - Thane Ashar IT Park
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent
📌 AI Lead Engineer (Mumbai)
🏢 Carat Deutschland
📍 Mumbai
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