Live opening · Posted 1 day ago
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About the role
Description supplied by the original job listing.
1. About Our Client:
This organization is a major player in the global media and entertainment industry, producing and distributing content across film, television, streaming, and theme park experiences. It operates numerous prominent entertainment and news brands and maintains a significant presence in filmed entertainment production and distribution through several well-known studios. The organization addresses the challenge of delivering diverse, world-class content to a broad audience while maintaining a commitment to community impact and inclusivity.
2. About the Opportunity:
The Senior Software Engineer focused on Agentic, LLM-powered applications is responsible for designing, developing, and optimizing intelligent systems and autonomous agents. This role contributes by advancing the organization’s capabilities in AI-driven applications, improving automation and reliability across its services through full-stack agent development, cloud-native deployment, and integration of modern LLM frameworks.
3. Responsibilities:
Design, develop, and maintain LLM-powered applications and autonomous agents
Build agentic workflows and orchestration layers using LangGraph or similar frameworks
Implement and refine prompt engineering strategies for reliability, safety, and performance
Integrate and evaluate modern LLM models across providers
Develop agent observability using LangSmith, LangFuse, or equivalent tools
Build and maintain MCP (Model Context Protocol) Server components
Collaborate with cross-functional teams and participate in Agile ceremonies
Develop backend services using AWS-native serverless and compute offerings
Perform peer reviews and contribute to engineering standards and best practices
4. Requirements:
Bachelor’s degree in Computer Science or related field
Minimum of 5 years professional software engineering experience
Expertise in Python and relevant LLM/AI libraries
Experience with LangGraph or similar agentic frameworks
Deep knowledge of LLM model integration and tuning
Hands-on experience with observability tools such as LangSmith or LangFuse
Experience developing MCP Servers
Strong knowledge of AWS services including Lambda, ECS, S3, DynamoDB, API Gateway
Strong fundamentals in algorithms, distributed systems, and cloud-native design
Experience building and consuming REST APIs and event-driven systems
Excellent communication, collaboration, and problem-solving skills
Self-directed with ability to multi-task and strong analytical abilities
Desired:
Experience with vector databases and embedding pipelines
Experience with real-time or streaming platforms such as Kinesis or Kafka
Familiarity with containerization technologies such as Docker
Experience with reinforcement learning or agentic evaluation frameworks
Results-oriented and self-motivated
5. Pay Range and Compensation Package:
Salary range: $120,000 to $170,000 annually
6. Benefits & Perks:
Medical, dental, and vision insurance
401(k) retirement plan
Paid leave
Tuition reimbursement
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.
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Yes
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