Posted on: 11/09/2025
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
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