
Innovative AI Solutions Developer
2 days ago
Job Title:
">A skilled Generative AI Specialist is required to design, develop and deploy innovative AI/ML solutions with a focus on Generative AI.
Key Responsibilities:
">- ">
- Design, develop, and deploy AI/ML solutions with a focus on Generative AI.">
- Fine-tune, prompt-engineer, and optimize Large Language Models (LLMs) for domain-specific tasks.">
- Leverage frameworks such as LangChain, LlamaIndex, or similar for building modular AI applications.">
- Integrate LLMs with APIs, databases, vector stores, and enterprise applications.">
- Evaluate and implement model deployment strategies (on-prem, cloud, serverless, or containerized environments).">
- Collaborate with cross-functional teams to deliver end-to-end AI solutions.">
- Stay updated with the latest advancements in AI, ML, and GenAI research and propose adoption of new technologies.">
- Implement ModelOps best practices for continuous training, deployment, and monitoring of models in production.">
- Ensure responsible AI practices, focusing on bias mitigation, data privacy, and compliance.">
Required Qualifications:
">- ">
- 5+ years of experience in software development (Python preferred; familiarity with Java, C#, or Node.js a plus).">
- 2+ years of hands-on experience in Generative AI and LLM-based development.">
- Strong knowledge of AI/ML fundamentals including Natural Language Processing, deep learning, embeddings, and transformers.">
- Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar).">
- Proven track record of delivering at least 2 production-grade LLM-based projects.">
- Experience with LangChain, LlamaIndex, Haystack, or similar frameworks.">
- Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma).">
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, VertexAI, Azure OpenAI).">
- Proficiency in containerization and deployment tools (Docker, Kubernetes, CI/CD pipelines).">
- Experience with ModelOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.">
- Strong problem-solving, analytical, and communication skills.">
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