Associate AI Developer

Summary

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team in New York, NY, Seattle, WA, or Dallas, TX (Hybrid opportunity). Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Responsibilities

• Build AI services: Develop and help deploy services and microservices that integrate LLMs and classical ML (real-time APIs, batch, and event-driven workloads).
• Agentic & orchestration: Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with structured I/O via Pydantic.
• Vision & deep learning: Help develop and integrate CNNs and vision models (classification, detection, OCR) into production pipelines.
• Observability: Instrument services with logging, tracing, and evaluation hooks; help monitor quality, latency, cost, and drift.
• Cloud-agnostic delivery: Build AI integrations on AWS, Azure, or NVIDIA tooling—and with open-source models—favoring portable, well-tested code.
• Quality & collaboration: Write tests from specs, join code reviews and design discussions, and respond constructively to feedback.

Qualifications

• Education: Recently graduated from, a degree/certificate program in Computer Science, AI/ML, Data Science, Engineering, or a related field.
• Experience: Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal projects) developing software or AI applications.
• AI cloud services: Hands-on exposure building AI services and integrations with one or more of: AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton), or open-source (LangChain, Pydantic, Python).
• Programming: Solid Python foundation plus software engineering fundamentals (version control, testing, APIs, clean code).
• Mindset: Cloud-agnostic and portability-minded; strong problem-solver; open to learning and feedback in a fast-paced environment.

Preferred Skills

• Familiarity with agentic patterns, tool-use orchestration, or the Model Context Protocol (MCP); RAG and vector search (Pinecone, Weaviate, FAISS).
• Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD.
• Prior internship, capstone, or project work involving AI, data, or cloud services.

Education

• BS/MS/certificate program in Computer Science, Engineering, AI/ML, Data Science or related field; equivalent experience considered.

Pay Range

$20 per hour