Generative AI Researcher

Tata Consultancy Services Limited
Warren, MI, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Code Generation Computer Programming Python (Programming Language) Open Source Technology Tensorflow Reinforcement Learning Pytorch Retrieval-Augmented Generation Large Language Models Multi-Agent Systems
+5 more
Prompt Engineering Generative AI Build Management Information Technology Virtual Agents

Job description

Job Summary: We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI’s creative potential and agentic AI’s autonomous action, developing systems that can understand, reason, and act in dynamic environments., Integrated AI System Development: Design and build AI agents that utilize large language models for reasoning and decision-making Develop systems where generative AI components enable sophisticated planning and problem-solving Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces Implement multi-agent systems where generative AI facilitates communication and collaboration Generative AI Capabilities: Fine-tune and optimize large language models for specific agentic tasks Develop prompt engineering strategies for complex reasoning and chain-of-thought processes Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks Agent Architecture & Autonomy: Build reflective agents that can critique and improve their own reasoning processes Design goal-oriented systems that use generative AI for planning and adaptation Implement memory architectures that allow agents to learn from experience and maintain context Develop safety mechanisms and oversight for autonomous generative agents Multi-Modal Agent Systems: Integrate vision, language, and action capabilities within agent frameworks Develop agents that can process and generate across multiple modalities (text, image, audio) Create embodied agents that interact with digital and physical environments Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Requirements

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams. Technical Proficiency: Experience with generative AI (LLMs, diffusion models, generative architectures) Experience with agentic AI systems, reinforcement learning, or autonomous systems Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow) Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks Proficiency with transformer architectures and fine-tuning techniques Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities Experience with RAG systems, vector databases, and knowledge retrieval Knowledge of reinforcement learning, planning algorithms, and decision-making systems Familiarity with multi-agent systems and emergent behavior, Ph.D

About the company

Tata Consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered, portfolio of business, technology and engineering services and solutions is delivered through its unique Location Independent AgileTM delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India’s largest multinational business group, TCS has over 614,000 of the world’s best trained consultants from 154 nationalities with operations in 55 countries. 121 hours of average learning per year per employee. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023. TCS’ proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. TCS Belief

  • We are responsible to every life we touch - the work we do makes a difference to the way millions live, work and play.
  • Technology must work for everyone - To be truly transformative, technology must work for everyone, delivering tangible benefits to those who use it daily.
  • The only future is a sustainable future - we have always looked and planned ahead and considered the long-term implications of what we do.
  • Progress is only possible through real partnership - By working as true partners over the long term, we deliver the most sustainable and successful results.

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