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Senior AI Engineer I
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- Posted a month ago
- Over 100 applicants have applied
Job Description
Senior AI Engineer I
We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently.
Key Responsibilities:
- Develop, maintain, and optimize AI-driven applications using Python.
- Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability.
- Design and build RESTful APIs with FastAPI for seamless integration of AI services.
- Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities.
- Interface with relational and vector databases for efficient AI data retrieval and storage.
- Implement text embedding techniques to improve AI-powered natural language processing tasks.
- Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP.
- Utilize Docker for containerization, ensuring scalable and efficient deployment.
- Collaborate with cross-functional teams using Git for version control and code management.
Requirements:
- Bachelor s/Master s degree in Computer Science or equivalent.
- A minimum of 4 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications.
- Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases.
- Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling.
- Strong Git skills for version control and collaborative development.
- Ability to adjust and thrive in a fast-paced environment with changing priorities.
- Strong analytical and problem-solving skills.
- Familiarity with data visualization tools such as MicroStrategy preferred.
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Key Skills
About Company
Skills:
Data structures, Tensorflow, Algorithms, Pytorch, Docker, Rest Apis, Python, Kubernetes, Prompt engineering, Scikit-learn, Hugging Face, Lang Chain, Lang Graph, Claude, Microservices architecture, System design principles, CI/CD pipelines, Llama Index, Llama, Gemini, Large Language Models
Skills:
Phoenix, API design, CDK, Typescript, Terraform, Elasticsearch, Python, AWS, Java, Gcp, DeepEval, pgvector, Strands, Go, Pinecone, LangSmith, OpenSearch, LangGraph, OAuth 2.0, Langfuse, Vertex AI, Ragas, CrewAI, Semantic Kernel, Braintrust, Google ADK, Weaviate, LlamaIndex, OIDC
Skills:
Rest Apis, Microservices, Azure Databricks, Cloud Services, Kubernetes, Python, Docker, AI orchestration frameworks, Generative AI solution design, Developing agentic AI workflows, AI Engineering Generative AI, Data pipelines, Event-driven architectures, Large Language Model LLM application development, Feature engineering, Building deploying and maintaining AI-powered applications, CI CD pipelines, Software Engineering Application Development, Prompt engineering
Skills:
object detection , Image Processing, Tensorflow, Nlp, Python, Ml, Rest API Development, Opencv, Faster R-CNN, Ai, YOLO, NoSQL database design, Computer vision models, Statistical Techniques, RDBMS design, Classification
Skills:
Python, multimodal models, data pipelines, hallucination mitigation techniques, Mistral, MLOps tools, guardrails, RAG pipelines, Generative AI models, fine-tuning techniques, safety mechanisms, fine-tuning workflows, model monitoring, Haystack, LangChain, PEFT, instruction tuning, LLaMA, LLMs, Anthropic, prompt engineering, CI CD pipelines, LoRA, OpenAI, LlamaIndex