Sesheng Company
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. #J-18808-Ljbffr
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. #J-18808-Ljbffr