E
Senior AI Engineer
Job Description
We are seeking a talented and driven Senior AI Engineer to join our team and lead the development of cutting-edge AI/ML models and GenAI solutions. This role offers an exciting opportunity to collaborate across functions and create innovative systems that solve real-world business problems.
Responsibilities
Responsibilities
- Build and deploy scalable AI/ML models and GenAI solutions in production
- Design and maintain robust ETL pipelines and data workflows
- Develop LLM-based applications using modern frameworks
- Implement prompt engineering techniques for optimized AI outputs
- Deploy models via APIs and integrate with enterprise applications
- Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
- Collaborate with cross-functional teams to deliver business-driven AI solutions
- 5-8 years of general IT experience
- 5+ years of experience in AI Engineering
- Strong programming skills in Python
- Hands-on experience with ETL and data pipelines
- Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience in prompt engineering and working with LLMs
- Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
- Cloud experience working with Azure, AWS, or GCP
- Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
- Strong experience in API development and model deployment
- English level of minimum B2 (Upper-Intermediate) for effective communication
- Experience with RAG architectures and vector databases
- Knowledge of real-time or streaming data pipelines
- Exposure to scalable system design and microservices architecture
- Familiarity with Databricks and PySpark
- Experience with cloud data solutions and ETL pipelines
More Info
Key Skills
LangChain
data pipelines
LLMs
Hugging Face
model deployment
Scikit-learn
MLflow
prompt engineering
Kubeflow
LlamaIndex
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:
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:
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:
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