Assoc Engr-AI

3M India

2 - 3 years

9 - 10 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

computer science ehs basic usage scalability gcp artificial intelligence deployment continuous improvement monitoring

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

Contribute to building full-stack AI applications, including Retrieval-Augmented Generation (RAG), AI agentic systems, and intuitive UI/UX for user-centric experiences.
Implement AI-driven features using pre-trained models and APIs; apply prompt engineering and integrate services to meet specific business needs.
Assist in evaluating and fine-tuning large language models (LLMs); run basic benchmarking and model comparisons to balance performance, scalability, and accuracy.
Support optimization of AI models and pipelines to improve efficiency, reduce latency, and ensure scalability in production environments.
Collaborate closely with product managers, software engineers, data scientists, and project managers to translate AI capabilities into practical solutions.
Stay current with advancements in AI technologies, tools, and practices; proactively share learnings with the team.

Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

Bachelor s degree in computer science, Artificial Intelligence, Data Science, or a related field.
2 3 years of experience building full-stack AI applications, including at least 1 year specifically in Generative AI.
Hands-on experience with AI applications such as RAG solutions and AI agentic systems, plus basic UI/UX implementation.
Experience evaluating, fine-tuning, and deploying large language models (LLMs) such as GPT, Claude, or similar LLMs.
Practical skills in prompt engineering and model optimization for cost, scalability, and low-latency performance, including basic benchmarking and model comparisons.

Additional qualifications that could help you succeed even further in this role include:

Excellent communication and collaboration skills with product managers, data scientists, engineers, and stakeholders.
Familiarity with MLOps practices, including model lifecycle management and CI/CD.
Experience deploying AI applications on cloud platforms (AWS, Azure, GCP).
Experience with modern AI development frameworks and tools (e.g., LangChain/LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).
Exposure to data pipelines, vector databases (e.g., FAISS, Pinecone), and monitoring/evaluation of AI systems.

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