Highlights
Innovative tech, competitive salary, WFO, fast-growing company
Description
Job Summary
pJoin the leading Human Insights AI company, Entropik. We are seeking a skilled AI Engineer to lead and develop cutting-edge ML and LLM-powered systems for our flagship product, Decode. This is an opportunity to work with Fortune 500 companies in transforming market research and customer experience through advanced AI technologies.
Responsibilities
- Design and implement AI/ML solutions to solve business problems.
- Build and deploy LLM applications, including RAG systems, AI agents, and workflow automation.
- Evaluate and optimize machine learning models for high performance.
- Create scalable APIs and production-grade AI systems with reliability in mind.
- Maintain data pipelines and manage AI infrastructure.
- Establish MLOps practices and model observability.
Required Skills
- Python programming
- ML & DL models optimization
- RAG systems development
- Cloud platforms (AWS, Azure, GCP)
- MLOps best practices
Required Skills Explained
- 2-3 years of experience in AI/ML engineering, particularly with Generative AI and LLM applications.
- Strong programming skills in Python and SQL.
- A deep understanding of Machine Learning, Deep Learning, NLP, and LLM architectures.
- Experience with RAG (Retrieval-Augmented Generation), prompt engineering, embeddings, vector databases, and AI agents.
- Proficiency in frameworks such as PyTorch, LangChain, LangGraph, and LlamaIndex.
- Experience with APIs, microservices, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
- Familiarity with MLOps, CI/CD, model serving, evaluation frameworks, and monitoring.
- Strong system design, problem-solving, communication, and leadership skills.
Who is this for
pThis role is ideal for experienced AI Engineers who are passionate about driving technical decisions and mentoring others. You should be comfortable working in a fast-paced startup environment with a strong emphasis on delivering production-ready solutions.
Why This Job is a Good Opportunity
ulliThe opportunity to work at the intersection of AI and human psychology in a fast-paced startup environment.liA chance to drive technical decisions and mentor others on a mission-driven team.liDirect impact on global brands through advanced emotion AI technologies like Facial Coding, Eye Tracking, and Voice AI.liThe flexibility of a fully remote position from Chennai.
Interview Preparation Tips
- Be prepared to discuss specific projects or contributions related to RAG systems, prompt engineering, and multi-agent workflows.
- Showcase your hands-on experience with frameworks like PyTorch and LangChain through relevant examples or personal projects.
- Prepare to explain your approach to designing scalable AI infrastructures and maintaining MLOps practices.
- Highlight any leadership roles you have held in previous positions, especially those involving mentorship or driving technical decisions.
Career Growth in This Role
pThe role offers significant growth opportunities for someone with the right experience. With a focus on architecting and deploying advanced AI systems, there are ample chances to lead and mentor junior engineers while contributing to the development of cutting-edge technology. The fast-paced environment also provides numerous learning opportunities and exposure to diverse projects that can enhance your skill set.pAdditionally, the role comes with responsibilities in system design and problem-solving, which can help you build a robust portfolio for future career moves within AI engineering or related fields. Entropik's mission-driven approach may also appeal to those looking to make a positive impact through their work in human insights AI.
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Skills
Frequently Asked Questions
What is the role of an AI Engineer at Entropik?You will design, implement, and deploy advanced AI solutions to solve business problems, optimize models, and establish MLOps practices.
What technical skills are required for this position?Python programming, ML & DL model optimization, RAG systems development, cloud platforms (AWS, Azure, GCP), and MLOps best practices.
What is the work location for this role?This is a WFO position based in Chennai.
