Senior GENAI 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. 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

• Demonstrated expertise in AI and Generative AI solutions, including prompt engineering, architectural design, consulting, and enterprise architecture.
• Solid experience in software development.
• Strong communication skills, as this position involves customer interaction.
• In-depth knowledge of Generative AI and machine learning technologies, together with their practical applications.
• Experience in industries such as finance, healthcare, or insurance is a plus.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Proven skills in statistical analysis and machine learning theories, with proficiency in Python programming.
• Extensive experience in designing, developing, and optimizing complete machine learning pipelines.

Applicants should have a minimum of 4 years of experience in Generative AI and at least 4 years in traditional machine learning, with a focus on creating, training, and deploying systems such as recommendation engines, deep learning models, and generative AI applications.

1. Experience working with Large Language Models (LLMs) like GPT, including prompt engineering for reflexive, model-based, and self-learning agents.
2. Proficiency in Python for building wrappers, interacting with APIs, and developing utilities.
3. Familiarity with frameworks such as LangChain and LangGraph.
4. Experience assembling intelligent AI agents to address diverse use cases.
5. Development of recent applications involving Agentic AI powered by LLMs, such as natural language query (NLQ) to SQL translation tools.
6. Strong analytical and problem-solving skills for effective solution design.

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

Practical familiarity with OpenAI, LLaMA/LLaMA 2, other open-source models, and Azure OpenAI models is required. Educational background should encompass Engineering, Mathematics, and Statistics, preferably focused on Data Science or Computer Science.