Key skills
AirflowAWSAzureDjangoDockerETLFlaskGoogle Cloud PlatformKubernetesLinuxMongoDBNoSQLPostgresPythonSQLAIMachine LearningMLDeep LearningNLPGenerative AILLMLangChainAgenticKubeflowLangGraphData EngineeringSnowflakeGCPGoogle CloudPostgreSQLVersion ControlCachingCI/CD
About this role
Role Overview
- Design AI systems
- Build end-to-end AI solutions using machine learning, deep learning, NLP, and generative AI technologies.
- Develop LLM-powered applications
- Create applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows.
- Build agentic AI solutions
- Design and implement AI agents that can plan, reason through multi-step tasks, interact with external tools and APIs, retrieve relevant context, and execute actions within controlled business processes.
- Develop multi-agent and orchestration workflows
- Create orchestrated AI systems where multiple agents or components collaborate to solve complex tasks, with clear control flow, observability, and fallback handling.
- Productionize models and AI agents
- Deploy, monitor, and maintain AI/ML models and agentic systems in production environments with strong reliability, performance, and safety standards.
- Build data and inference pipelines
- Develop pipelines for ingestion, preprocessing, vector search, model inference, agent memory/context management.
- Improve quality and evaluation
- Define offline and online evaluation frameworks for model quality, latency, safety, task completion, agent reliability, and business outcomes.
- Optimize performance and cost
- Improve model selection, prompt efficiency, agent orchestration, latency, throughput, caching, token usage, and serving efficiency.
- Ensure governance and safety
- Apply best practices for security, privacy, responsible AI, model risk controls, guardrails, agent permissions, compliance, and human-in-the-loop review where needed.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field required. Master’s degree preferred.
- 3+ years of end-to-end experience training, evaluating, testing, deploying, and monitoring machine learning models in production.
- Hands-on experience building applications with LLMs, prompt engineering, retrieval-augmented generation, structured outputs, and model evaluation.
- Experience with frameworks or platforms for LLM and agent orchestration, such as LangChain, LangGraph, Strands AI, or equivalent architectures.
- Experience designing or building AI agents that use planning, memory, tool calling, workflow orchestration, agent-to-agent and external system integration to complete multi-step tasks.
- Strong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services.
- Strong understanding of machine learning fundamentals and practical experience with NLP tasks such as text classification, NER, clustering, topic modeling, semantic search, and conversational AI.
- Experience with fine-tuning LLMs and transformer-based models such as BERT, RoBERTa, ALBERT, and a solid understanding of tokenizers, embeddings, pre-trained models, and adaptation techniques.
- Experience with SQL and NoSQL databases, vector databases or embedding stores, and data pipelines for AI applications.
- Experience with model serving, observability, evaluation, error analysis, prompt/version management, and monitoring of AI systems in production.
- Familiarity with Linux systems and standard software engineering practices including testing, CI/CD, APIs, and version control.
Nice to have:
- Experience with AWS, Azure, or GCP
- Experience with Docker and Kubernetes
- Experience with ETL and Data Engineering projects
- Experience with PostgreSQL, Snowflake, or MongoDB
- Experience with Kubeflow, or Airflow
Tech Stack
- Airflow
- AWS
- Azure
- Django
- Docker
- ETL
- Flask
- Google Cloud Platform
- Kubernetes
- Linux
- MongoDB
- NoSQL
- Postgres
- Python
- SQL
Benefits
- Global team recognized for their passion and innovation
- Innovative product culture and project exposure
- Training and development from industry-leading experts
- Cutting edge benefit programs that include: 401(k) with company matching; medical, dental, and vision insurance; disability and life insurance; flexible PTO; paid holidays and parental leave; tuition reimbursement and more
- We offer market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications.