300000 - 1000000 Indian Rupee - Yearly
Surat, Gujarat, India
Information Technology
Full-Time
Weekday
Overview
This role is for one of our clients
Industry: Technology, Information and Media
Seniority level: Mid-Senior level
Min Experience: 8 years
Location: Bengaluru
JobType: full-time
About the Role
We are looking for a visionary and hands-on Lead Generative AI Engineer to join our growing Automation Centre of Excellence. In this leadership role, you will architect, design, and deploy state-of-the-art AI-driven solutions that harness the power of large language models (LLMs), generative AI, and advanced machine learning techniques. You’ll work closely with cross-functional teams—spanning automation, engineering, and product—to translate complex business needs into scalable, intelligent systems.
You will not only build the next generation of GenAI-powered platforms but also guide best practices, mentor engineers, and shape the long-term technical roadmap for AI/ML initiatives.
Key Responsibilities
AI Solution Architecture
Design scalable, production-grade architectures for generative AI applications—ranging from intelligent agents to LLM-based copilots and RAG-powered systems.
Model Development & Integration
Build, fine-tune, and integrate large-scale ML and LLM models using frameworks like Hugging Face, TensorFlow, and PyTorch. Implement RAG pipelines and domain-specific fine-tuning of foundational models.
API Engineering
Develop robust RESTful and GraphQL APIs to expose AI services using FastAPI or Flask, ensuring security, high availability, and performance.
Deployment & Infrastructure
Deploy models across cloud (AWS, Azure, or GCP) and containerized platforms using Docker and Kubernetes. Establish scalable CI/CD pipelines for rapid iteration and monitoring.
Data & Pipeline Management
Engineer efficient data pipelines and workflows for ingesting, preprocessing, and managing large datasets used in training and inference.
Collaboration & Delivery
Partner with data scientists, MLOps engineers, architects, and business stakeholders to deliver GenAI solutions that drive tangible business value.
Mentorship & Leadership
Provide technical leadership, mentorship, and code reviews to ensure engineering excellence across the team.
Innovation & Experimentation
Stay abreast of breakthroughs in AI and LLM research. Prototype emerging techniques and evaluate their potential for real-world application.
Required Qualifications
Education
Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
Experience
8+ years of overall software engineering or ML experience.
6+ years of hands-on Python development.
Proven success deploying GenAI/LLM-based applications in production.
Strong background in machine learning and deep learning frameworks (TensorFlow, PyTorch, Hugging Face).
Experience with GenAI tools such as LangChain, vector databases (e.g., FAISS, Pinecone), and prompt engineering.
Technical Skills
Programming: Expert in Python with libraries like NumPy, Pandas, Scikit-learn.
AI/ML: Experience with GPT, transformers, GANs, VAEs, and custom LLM pipelines.
APIs: Skilled in building and consuming APIs via FastAPI, Flask, or Django.
Cloud & DevOps: Familiarity with AWS/GCP/Azure, container orchestration (Docker/Kubernetes), and version control (Git/GitHub).
Deployment: Experience with scalable model deployment and monitoring in both cloud and on-premise environments.
Preferred Qualifications
Experience with Retrieval-Augmented Generation (RAG) architectures.
Hands-on with LangChain, LlamaIndex, or similar GenAI orchestration tools.
Exposure to MLOps tools (MLflow, SageMaker, or Kubeflow).
Understanding of data privacy, security, and ethical AI standards.
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Email
info@antaltechjobs.in