Not specified

Company Overview

(Not provided)

Job Summary

We are seeking a highly qualified candidate with expertise in Generative Artificial Intelligence (Gen AI) and Machine Learning (ML) to join our team. The role will focus on developing and optimizing large language models (LLMs) for various applications, including natural language processing (NLP). This position significantly contributes to advancing our technological capabilities in leveraging AI solutions to meet organizational goals.

Responsibilities

• Develop and implement advanced brand new models based on Transformer architectures such as GPT-4, Claude, LLaMA, etc.
• Utilize LLM APIs and orchestration tools like OpenAI, Bedrock, LangChain, and LlamaIndex for model integration.
• Architect and enhance Agentic Workflows to facilitate efficient task handling and workflow optimization.
• Design and execute effective Prompt Engineering strategies, including few-shot and zero-shot prompting, and multi-step chain-of-thought (CoT) prompting.
• Conduct semantic search and manage vector databases using platforms like Pinecone, Qdrant, and FAISS.
• Analyze LLM outputs for quality assurance using metrics like ROUGE and BERTScore, ensuring the integrity and reliability of AI-generated content.

Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Technical Skills:
  • Strong experience with NLP and familiarity with Gen AI/ML technologies.
  • Proficiency in working with Transformer-based models such as GPT-4 and others.
  • Knowledge of semantic search methods and vector database architectures.
  • Deep understanding of RAG pipelines, including embedding generation and hybrid retrieval.
  • Familiarity with evaluation techniques to ensure high-quality LLM outputs.
• Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills for cross-functional teamwork.

Preferred Skills

• Experience with deploying multi-agent GenAI systems for applications such as customer support and decision support.
• Familiarity with tools such as LangChain Expression Language (LCEL), LangGraph DAGs, and AutoGen groupchat flows.
• Understanding of safety measures such as prompt injection prevention and ethical alignment strategies.

Experience

• Minimum of 3 years of relevant experience in AI/ML field, with a maximum limit of 4 years total experience.
• Practical knowledge or experience in working with LLMs and orchestration tools in real-world applications (6 months to 1 year preferred).

Environment

• Work mode is hybrid, requiring on-site presence at least 3 days a week at the Bangalore location.
• Interviews will be conducted virtually.

Salary

• Competitive salary package with a budget of 13 LPA.

Growth Opportunities

(Not provided)

Benefits

(Not provided)