
ML Engineer, Gen AI
4 days ago
About Qolaba
Qolaba is building the future of AI by creating intelligent applications, AI agents, and infrastructure to make artificial intelligence accessible, practical, and powerful. We're a fast-growing startup backed by strong partnerships and working with enterprises across industries.
About the Role
We are seeking a
Machine Learning Engineer (Generative AI)
to join our core engineering team. You'll work on large-scale AI systems, build multi-agent frameworks, and design data-intensive applications that power next-generation LLM-driven products. This role offers the opportunity to work on foundational infrastructure decisions and make a direct impact on product development.
Responsibilities
- Design, build, and maintain scalable backend systems and data pipelines for AI agents and LLM applications.
- Develop and manage data layers across SQL (PostgreSQL), NoSQL (MongoDB), and vector databases.
- Build, deploy, and manage advanced AI agents and multi-agent systems using modern frameworks.
- Manage the end-to-end lifecycle of LLM applications: prototyping, evaluation, deployment, monitoring, and continuous improvement.
- Collaborate with product and research teams to shape the technical roadmap and ensure best engineering practices.
- Write high-quality, well-tested code and own services through the full lifecycle (development → testing → deployment → maintenance).
Qualifications
- 2+ years of professional experience in software development, with focus on machine learning, backend systems, or data engineering.
- Strong foundation in computer science (data structures, algorithms, OOP).
- Proficiency in
Python
. - Experience with SQL and NoSQL databases; data modeling and database design.
- Hands-on experience with LLM application lifecycle (evaluation, testing, deployment, observability tools such as Langfuse, Arize, Weights & Biases).
- Experience with AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, Agno, etc.).
- Familiarity with real-time data processing (Kafka, Pulsar, Kinesis) and event-driven architectures.
- Exposure to microservices, containerization (Docker, Kubernetes), and distributed systems.
- Experience with ML frameworks (TensorFlow, PyTorch, JAX), and multimodal AI systems.
- Portfolio of projects, open-source contributions, or personal experiments in AI.
- Comfortable working in a fast-paced, startup environment with high ownership.
Why Join Us
- Build the future of Generative AI with a passionate, ambitious team.
- High-impact role with the opportunity to influence core product and system architecture.
- Flexible, remote-friendly work environment with a base in Gurugram, Haryana.
- Equal-opportunity employer – we welcome talent from all backgrounds.
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