Agentic AI Engineer

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 1000000 - Rs 3000000 (ie INR 10 - 30 LPA)

Min Experience: 4 years

Location: Remote (India)

JobType: full-time

This is a full-time remote position for a Generative AI Engineer and Machine Learning specialist.

PLEASE NOTE: THIS ROLE IS NOT SUITABLE FOR ENTRY-LEVEL CANDIDATES. APPLICANTS MUST HAVE A MINIMUM OF 4 YEARS OF HANDS-ON EXPERIENCE IN IMPLEMENTING GENERATIVE AI USE CASES. NO EXCEPTIONS.

You will have the flexibility to work from home anywhere within India, as the job location is based in India. Your responsibilities will include researching and developing the EazyML platform utilizing state-of-the-art AI agents.

Requirements

Qualifications

• Proven experience in AI/Generative AI solutions involving prompt engineering, architecture design, consulting, and enterprise architecture.
• Strong background in software development.
• Excellent communication skills, as this is a customer-facing role.
• Comprehensive understanding of Generative AI and machine learning technologies, along with their practical implementations.
• Experience in sectors such as finance, healthcare, or insurance is advantageous.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related discipline.
• Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python programming.
• Strong knowledge and practical experience in designing, developing, and optimizing end-to-end machine learning pipelines.

Applicants must have at least 4 years of experience in Generative AI and a minimum of 4 years in traditional machine learning, specializing in the creation, training, and deployment of services such as recommendation engines, deep learning models, and generative AI systems.

1. Experience with Large Language Models (LLMs) such as GPT, including prompt engineering for reflexive, model-based, and self-learning agents.
2. Proficiency in Python for developing wrappers, interfacing with APIs, and creating utilities.
3. Familiarity with tools like LangChain and LangGraph.
4. Experience in assembling intelligent AI agents to implement a variety of use cases.
5. Development of recent use cases involving Agentic AI powered by LLMs, for example, natural language query (NLQ) to SQL translators.
6. Strong analytical and problem-solving abilities to effectively design solutions.

Hands-on experience with technologies such as Large Language Models, Transformers, CNNs, TensorFlow, Scikit-learn, PyTorch, NLP libraries, embedding models, and vector databases.

Practical exposure to OpenAI, LLaMA/LLaMA 2, other open-source models, and Azure OpenAI models is required. Educational background should include Engineering, Mathematics, and Statistics, preferably in Data Science or Computer Science.