300000 - 1000000 Indian Rupee - Yearly
Vadodara, 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
About the Role
We’re seeking an experienced and forward-thinking Lead AI Engineer to head the development of cutting-edge AI applications leveraging large language models (LLMs) and generative AI techniques. In this high-impact role, you will guide the architecture, deployment, and optimization of AI systems that power real-world, intelligent applications. You’ll be at the intersection of research and engineering, leading a team of top-tier AI engineers while shaping the future of AI capabilities within the organization.
What You’ll Do
Architect AI Solutions
Design and lead the development of end-to-end AI systems that leverage LLMs, retrieval-augmented generation (RAG), and autonomous agent frameworks.
Model Integration and Optimization
Work hands-on with both open-source (Llama, Mistral, Falcon, etc.) and proprietary models (GPT-4, Claude, Gemini), fine-tuning them for specialized applications using proprietary data.
Agentic Systems & RAG
Build intelligent agents capable of reasoning, planning, and performing multi-step tasks using agentic architectures and RAG pipelines with vector databases like FAISS or Weaviate.
Production-Grade Engineering
Oversee scalable deployment, versioning, and monitoring of AI models in production using modern MLOps practices and cloud-native platforms (AWS, GCP, Azure).
Cross-functional Collaboration
Partner with data scientists, product managers, and software engineers to transform complex problems into elegant AI-driven products.
AI Team Leadership
Mentor a team of engineers, drive technical direction, and manage project priorities, sprint planning, and roadmap execution.
Innovation & Research
Stay ahead of the curve by tracking advancements in the AI/LLM space. Promote a culture of experimentation, rapid prototyping, and responsible AI.
Ethics & Evaluation
Implement best practices for model interpretability, bias mitigation, and responsible deployment of AI systems.
Must-Have Qualifications
Experience
5+ years of hands-on experience in AI/ML engineering with a primary focus on NLP and LLMs.
Proven experience in designing and deploying production-grade AI systems.
Technical Skills
Strong command of Python and frameworks like PyTorch, TensorFlow, LangChain, and LlamaIndex.
Solid knowledge of transformer architectures, embeddings, fine-tuning techniques, and tokenization.
Experience integrating with vector databases (FAISS, Pinecone, Weaviate).
Proficiency in designing APIs and working with distributed systems.
Familiarity with MLOps, containerization (Docker), and orchestration tools (Kubernetes).
Leadership
Experience managing engineering teams and projects, with a track record of shipping successful AI solutions.
Cloud & Deployment
Deep experience with deploying AI systems on AWS, GCP, or Azure, and optimizing workloads for cost and performance.
Nice-to-Have
Experience working with multi-modal AI models (text, image, video, audio).
Knowledge of RLHF (Reinforcement Learning from Human Feedback) methodologies.
Contributions to open-source AI projects or peer-reviewed research.
Prior experience at a startup or AI research lab.
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Email
info@antaltechjobs.in