2 months ago
Base Salary
$144k - $273k/yr
Responsibilities
- Lead high-impact, customer-embedded AI engagements and take accountability for production outcomes.
- Design and build responsive frontend applications using React, Angular, or Vue, including generative UI and real-time streaming experiences.
- Develop backend APIs, microservices, and data pipelines using Python, JavaScript/TypeScript, and Node.js.
- Design and deploy multi-agent orchestration workflows using frameworks such as LangChain, AutoGen, or CrewAI.
- Configure RAG architectures and vector engines across structured and unstructured data sources.
- Optimize LLM API performance, token latency, prompt routing, context windows, and operating costs.
- Deploy containerized applications to Docker, Kubernetes, and major cloud platforms.
- Translate ambiguous client requirements into scalable architectures and own delivery from scoping through deployment.
- Document deployment learnings, contribute code and architectural practices to shared platforms, and collaborate with engineering leads.
- Share technical knowledge across engineering communities and support user adoption and operational outcomes.
Requirements
- 4+ years of professional software engineering experience with strong Python and JavaScript/TypeScript backend proficiency.
- Production experience designing, building, and deploying applications with modern AI frameworks and orchestrators such as LangChain, AutoGen, or CrewAI.
- Experience building modern frontend applications with React, Angular, or Vue, particularly for streaming data or real-time query responses.
- Practical experience deploying RAG pipelines and working with vector databases such as Pinecone, Milvus, Qdrant, or Chroma.
- Experience deploying Docker and Kubernetes applications to AWS, Azure, or GCP in distributed computing environments.
- Strong SQL and PostgreSQL skills, NoSQL database experience, and familiarity with Pandas and Spark.
- Strong Git and GitHub proficiency and familiarity with CI/CD pipelines and modern software delivery practices.
- Preferred experience with LiteLLM, Langfuse, Temporal, Hugging Face, LangGraph, Semantic Kernel, prompt tuning, model fine-tuning, Redis, Kafka, RabbitMQ, TensorFlow, or PyTorch.
- Preferred business acumen, executive communication skills, cloud or AI certifications, and willingness to travel and work at customer premises.
- Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Informatics, or a related technical field, or equivalent practical work experience.
Benefits
- U.S. compensation range of $143,640 to $273,000 for a full-time schedule, with a discretionary annual bonus program.
- Medical and dental coverage, disability benefits, retirement benefits, paid leave, and paid time off.
- Employee learning programs and access to certifications from Microsoft, Google, Amazon, Skillsoft, and other providers.
- Company-wide volunteering and giving platform supporting donations, fundraising, and volunteer opportunities.
- On-site work in West Palm Beach, Florida; travel and customer-premises work may be required.
- Applications are accepted on a rolling basis.
Tech Stack
AngularApache KafkaApache SparkAWSAzureDockerGitGoogle Cloud PlatformJavaScriptKubernetesNode.jsPandasPostgreSQLPythonPyTorchRabbitMQReactRedisSQLTensorFlowTypeScriptVue.js
Categories
Forward Deployed
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.