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6 Hub Jobs
AI Engineer - Associate
Hub
posted 16hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
The Opportunity
Join our on-site team as an AI Engineer (Generative & Agentic AI Focus) , where you will be at the forefront of cutting-edge AI innovations in the fintech domain. In this role, you ll leverage your 1+ years of professional experience to build, fine-tune, and deploy large language models (LLMs) and agentic AI systems that push the boundaries of whats possible in autonomous decision-making and natural language processing.
Join our on-site team as an AI Engineer (Generative & Agentic AI Focus) , where you will be at the forefront of cutting-edge AI innovations in the fintech domain. In this role, you ll leverage your 1+ years of professional experience to build, fine-tune, and deploy large language models (LLMs) and agentic AI systems that push the boundaries of whats possible in autonomous decision-making and natural language processing.
Purpose
Your core mission is to design, develop, and implement advanced AI/ML solutions that utilize modern NLP techniques and frameworks. By collaborating with cross-functional teams, you ll deliver innovative products and services ranging from generative text interfaces to autonomous agentic AI solutions that enhance customer experiences and drive business growth.
Your core mission is to design, develop, and implement advanced AI/ML solutions that utilize modern NLP techniques and frameworks. By collaborating with cross-functional teams, you ll deliver innovative products and services ranging from generative text interfaces to autonomous agentic AI solutions that enhance customer experiences and drive business growth.
Accountability
- NLP Model Development : Fine-tune large language models (LLMs) for domain-specific applications and implement state-of-the-art NLP features.
- Generative & Agentic AI : Develop and deploy generative models (e.g., GPT, T5) and agentic AI systems capable of autonomous reasoning, decision-making, and action-planning.
- Frameworks & Libraries : Utilize deep learning frameworks (PyTorch, TensorFlow) and libraries like Hugging Face Transformers, Langchain, or OpenAI APIs to build, train, and serve NLP models.
- Collaboration & Communication : Work closely with product managers, software engineers, and UX designers to translate business needs into technical requirements and present findings to both technical and non-technical stakeholders.
- Research & Innovation : Stay on top of the latest AI research, especially in NLP, Generative AI, and Agentic AI, and proactively identify opportunities to drive innovation within the organization s product lines.
About You
You re a problem-solver who thrives in a fast-paced, agile environment and excels at translating complex technical concepts into clear, actionable insights. You bring a collaborative mindset, strong attention to detail, and a deep curiosity for pushing the boundaries of AI capabilities.
You re a problem-solver who thrives in a fast-paced, agile environment and excels at translating complex technical concepts into clear, actionable insights. You bring a collaborative mindset, strong attention to detail, and a deep curiosity for pushing the boundaries of AI capabilities.
Must be:
- Self-motivated, proactive, and driven by innovation.
- A strong communicator with the ability to convey technical concepts clearly.
- Collaborative and comfortable working in cross-functional teams.
Must have:
- At least 1 year of professional experience in NLP, machine learning, or related AI fields.
- A Bachelor s, Master s, or Ph.D. in Computer Science, Data Science, Mathematics, or a related technical discipline (or equivalent practical experience).
- Demonstrated proficiency with Generative AI (e.g., GPT, T5) and Agentic AI concepts.
- Hands-on expertise with Python and one or more deep learning frameworks (PyTorch, TensorFlow).
- Familiarity with Hugging Face Transformers, Langchain, or similar NLP libraries.
- Basic experience with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
Nice to have:
- Practical experience in fine-tuning LLMs, prompt engineering, and in-context learning.
- Contributions to open-source AI/ML projects.
- Experience deploying models on cloud platforms (AWS, GCP, or Azure).
Employment Type: Full Time, Permanent
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based on 12 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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