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Generative AI Workflow Engineer
Generative AI Workflow EngineerQuantiphi • Bengaluru, Republic Of India, IN
Generative AI Workflow Engineer

Generative AI Workflow Engineer

Quantiphi • Bengaluru, Republic Of India, IN
11 days ago
Job description

Role : Associate Architect - Machine Learning Engineer

Experience Level : 6 to 9 years

Location : Mumbai / Bangalore / Trivandrum (hybrid)

Notice Period : 0-30 days

Job Summary :

We are looking for experienced Machine Learning Architects to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.

Roles & Responsibilities :

  • Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes
  • LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
  • Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.
  • AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
  • Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
  • Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology.
  • Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
  • Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Required Skills & Qualifications :

  • Experience :
  • 6 to 9 years of hands-on experience in machine learning and AI engineering.
  • Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.
  • Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
  • Strong experience in prompt engineering to optimize AI models performance.
  • Technical Skills :
  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
  • Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
  • Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
  • Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
  • Familiarity with SDLC life cycle, data processing tools (e.G., Pandas, NumPy, etc.) and version control (e.G., Git).
  • Soft Skills :
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities to collaborate with stakeholders.
  • Ability to work independently and drive projects to completion with minimal supervision.
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