Generative AI Developer

2 days ago

Pune, Maharashtra, India PureSearch Full time

About the Opportunity

The client is rapidly expanding our Generative AI capabilities and are looking to onboard Generative AI Developers. This is an exciting opportunity to work on cutting-edge AI projects that have real-world impact. Join a dynamic and innovative team where your work will shape intelligent applications using LLMs, agentic workflows, and RAG (Retrieval-Augmented Generation) pipelines.

Why Join Us?

- Innovative Work : Collaborate on advanced AI solutions with LLMs from OpenAI and other providers.

- Real-World Impact : Build applications with LLM chaining, agent-based design, and RAG pipelines.

- Collaborative Culture : Work with a passionate team focused on innovation, learning, and mentorship.

- Flexible Work Model : Primarily office-based for better collaboration, with hybrid flexibility.

Key Responsibilities :

- Lead the design and development of complex GenAI solutions.

- Architect and implement end-to-end GenAI pipelines.

- Translate business problems into technical solutions using LLMs and related tools.

- Manage and mentor junior developers and AI engineers.

- Ensure scalability, security, and performance of AI solutions in production.

- Collaborate with cross-functional teams including product managers, data engineers, and designers.

Required Skills & Experience :

- 4-6 years of total experience with at least 2+ years in Generative AI.

- Strong understanding of LLM architecture, model fine-tuning, prompt engineering, and chaining techniques.

- Experience building agentic workflows and RAG pipelines.

- Hands-on with frameworks like LangChain, LlamaIndex, Hugging Face Transformers, etc.

- Knowledge of OpenAI, Anthropic, Cohere, or similar LLM APIs.

- Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow, Transformers).

- Ability to lead teams, manage deliverables, and mentor peers.

- Strong communication skills to present technical ideas to non-technical stakeholders.

- Experience with MLOps and data engineering principles is a plus.

Nice to Have :

- Experience with vector databases like FAISS, Pinecone, Weaviate, etc.

- Exposure to cloud platforms (AWS, GCP, Azure) for deploying AI applications.

- Prior experience in startups or fast-paced environments.

(ref:hirist.tech)

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