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Senior LLM Engineer (Gen AI)

Senior LLM Engineer (Gen AI)

ConfidentialIndia
5 days ago
Job description

Company Description

MillionLogics, a trusted Oracle Partner, is an IT solutions provider with a global presence, blending innovation and strategic vision. With offices in London, UK, and a development hub in Hyderabad, India, we offer a diverse range of services, including Data & AI, Cloud Solutions, and IT Consulting. Our mission is to transform enterprises through scalable and future-ready IT solutions, delivered by a team of 28+ Oracle experts dedicated to client success. At MillionLogics, we deliver outcomes that empower organisations to evolve, adapt, and lead.

Role Description

This is a remote full-time position for a Senior LLM Engineer (Generative AI Specialist) , offering the opportunity to work directly with our esteemed client based in California, USA .

As a key member of the client's GenAI Delivery Organisation, you will contribute to a flagship Generative AI project, collaborating with a cross-functional team of engineers from diverse technical backgrounds.

The GenAI Delivery Organisation has a proven track record of delivering industry-leading multi-agen t LLM solutions, advanced RAG architectures, and large-scale open-source LLM deployments for major global enterprises.

Required skills

  • 4-6+ years of professional experience in building Machine Learning models & systems
  • 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques, particularly prompt engineering, RAG, and agents.
  • Experience in driving the engineering team toward a technical roadmap.
  • Expert proficiency in programming skills in Python, Langchain / Langgraph and SQL is a must.
  • Understanding of Cloud services, including Azure, GCP, or AWS
  • Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

  • Develop and optimise LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
  • Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain / LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
  • Cloud integration : Aide in the deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimising resource usage and ensuring robust CI / CD processes.
  • Cross-functional collaboration : Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
  • Mentoring and guidance : Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Continuous innovation : Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.
  • Qualifications

  • Expertise in Large Language Models (LLMs) and Generative AI
  • Experience in designing, developing, and deploying AI models
  • Strong understanding of machine learning algorithms and natural language processing
  • Proficiency in programming languages such as Python, TensorFlow, and PyTorch
  • Excellent problem-solving skills and ability to work independently
  • Experience with cloud environments like AWS, Azure, or GCP
  • Bachelor's or Master's degree in Computer Science, AI, or related field
  • Must be a computer science graduate from a well-reputed university.
  • Must be willing to complete background checks (including academic records)
  • SalaryL

    INR 21 Lakhs / Annum + INR 25K Joining Bonus

    How to Apply

    Please send us your updated CV to [HIDDEN TEXT] with job ID : 40327 - Sr LLM Engineer as the subject, or you can apply at our website, our career section www.careers.millionlogics.com.

    Skills Required

    Gcp, Azure, Python, Sql, Aws

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