Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviours. Roles & Responsibilities: - Design and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. - Fine-tune and deploy large language models (LLMs) for task-specific applications - Integrate tools, APIs, and external systems into agent workflows for enhanced functionality - Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines - Develop robust backend systems for real-time agent inference and data processing - Monitor, evaluate, and iteratively improve agent behaviour, output quality, and latency - Collaborate with cross-functional teams to translate business needs into AI capabilities Professional & Technical Skills: - Strong analytical and problem-solving skills - Ability to work independently in fast-paced, research-oriented environments - 4-8 years in AI/ML or software engineering, with 1–2 years working directly on GenAI or autonomous agents - Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow - Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings - Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines - Experience in using LangChain, AutoGen, or similar agentic frameworks - Exposure to Docker, REST APIs, and cloud platforms (AWS) Additional Information: - The candidate should have minimum 7.5 years of experience in Machine Learning. - Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field - This position is based at our Bengaluru office. - A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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