
Senior GenAI Developer
4 days ago
Key Responsibilities
- Design and deploy Large Language Model (LLM)-based applications and GenAI systems.
- Work closely with internal teams and client stakeholders to gather requirements and
deliver scalable AI solutions.
- Develop and integrate Retrieval-Augmented Generation (RAG) pipelines.
- Build, test, and deploy APIs and services that bring AI capabilities into business platforms.
- Perform model optimization, evaluation, and prompt engineering.
- Mentor junior team members and review technical deliverables.
- Ensure security, compliance, and ethical usage of AI models in regulated domains.
- Collaborate with product, design, and engineering teams to shape AI solutions for
enterprise clients.
Technical Requirements
Must-Have Skills
- 7-10 years of overall experience in AI/ML, with 2-3 years in Generative AI and LLMs.
- Strong coding skills in Python; familiarity with PyTorch, TensorFlow, or JAX.
- Experience with:
- HuggingFace Transformers, LangChain, and OpenAI/Cohere/Claude APIs.
- Prompt engineering, fine-tuning, and custom embeddings.
- Proficiency in developing and deploying APIs using FastAPI or Flask.
- Experience with Docker and containerized deployment.
- Cloud exposure: Azure, AWS, or GCP, especially ML services like SageMaker, Vertex AI, or
Azure ML.
Nice-to-Have Skills
- Experience with vector databases (FAISS, Pinecone, Weaviate).
- Knowledge of MLOps pipelines and CI/CD for ML workflows.
- Understanding of responsible AI practices, hallucination reduction, and bias detection.
- Previous work experience in finance, audit, regulatory, or consulting sectors.
Additional Information
- Leadership in AI project delivery and solution design.
- Excellent communication and stakeholder engagement skills.
- Team player with mentoring abilities and technical decision-making confidence.
- Adaptability to dynamic project requirements and regulatory constraints.
- Excellent communication and interpersonal skills.
- Strong problem-solving and debugging skills.
- Proactive in delivering quality work within deadlines.
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