Sesheng

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer, contracted for approximately 6 months, with a pay rate of "unknown." Located in Chicago or NYC (potential hybrid), it requires 5+ years in software engineering, expert Python skills, and experience with AWS and LLM frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 27, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Lambda (AWS Lambda) #RDS (Amazon Relational Database Service) #Cloud #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service) #DynamoDB #Langchain #Monitoring #Automation #IAM (Identity and Access Management) #A/B Testing #Python #ML (Machine Learning) #Scala #DevOps #API (Application Programming Interface) #AWS (Amazon Web Services)
Role description
AI Developer (Agentic AI) Positions Available: 4 Location: Chicago or NYC (Potential Hybrid) Contract Duration: Approximately 6 Months Role Summary Sesheng is seeking highly skilled contract AI Developers to architect and build our next-generation Agentic AI platform. You will be responsible for developing the core orchestration, governance, and infrastructure components that enable sophisticated, self-healing AI Projects with Agentic Automation. This role requires deep expertise in production-grade distributed systems and proficiency with leading LLM frameworks and modern LLMOps practices. Key Responsibilities • Platform Design & Integration: Design and implement a scalable, modular platform that seamlessly integrates advanced Python-based agent frameworks (LangChain, Semantic Kernel) with low-code/no-code tools (e.g., MS Copilot Studio). • Core Service Development: Develop and implement critical platform services, including agent orchestration, robust prompt and policy management, a tool/connector registry, centralized configuration store, and secure secrets handling. • API & Adaptor Development: Create high-performance APIs, SDKs, and adapters to ensure interoperability across various LLM providers (e.g., OpenAI, AWS Bedrock, Anthropic) and model runtimes, supporting a multi-tenant environment. • Cloud Infrastructure: Leverage AWS expertise to design and deploy platform components using cloud-native services like EKS/Fargate, Lambda, API Gateway, Step Functions, S3, DynamoDB/RDS, Secrets Manager/KMS, CloudWatch/CloudTrail, and IAM. • LLMOps Implementation: Establish and manage a robust LLMOps pipeline covering the entire model lifecycle, including experiment tracking, offline/online evaluation, telemetry, cost and safety monitoring, and A/B testing. Required Qualifications • Experience: Minimum of 5+ years of software engineering experience building production-grade distributed systems or high-scale platforms. • Technical Expertise: Expert-level Python skills, including proven experience building robust services, SDKs, and enterprise integrations. • AI/ML & Agentic Focus: Strong foundational knowledge of AI/ML concepts and specific, hands-on experience building and deploying AI projects that rely on Agentic Automation. • Framework Fluency: Hands-on experience with modern LLM/agent frameworks (LangChain, Semantic Kernel) and model provider SDKs (OpenAI, AWS Bedrock, Anthropic). • Cloud Proficiency: Deep, practical experience configuring, deploying, and optimizing applications within the AWS ecosystem. • DevOps/MLOps: Proven background in implementing MLOps best practices for LLMs, ensuring model reliability, performance, and governance in production. Sesheng is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and contractors. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristic protected by law. We encourage all qualified individuals to apply.