Software Engineer, Agentic AI

About This Opportunity

We are representing a confidential streaming technology organization in Cambridge seeking a Software Engineer, Agentic AI. Our client is a leader in connected TV platforms with global reach, and their engineering teams are applying AI to demanding media and embedded systems problems at massive scale.

This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline—architecting durable systems, grounding them in the right context, integrating them with tools and services, and making them reliable in production. You'll help define how agentic AI systems are designed, built, and operated for TV platform use cases in resource-constrained environments where quality, performance, and reliability matter.

Responsibilities

• Architect, develop, and deploy AI agents and copilots for streaming TV use cases, integrating them with internal systems, tools, and services
• Own end-to-end agentic systems from concept to production, including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces
• Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution
• Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic
• Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with surrounding systems
• Create reusable agent templates, modular components, and paved-path patterns that accelerate adoption across teams and use cases
• Establish strong evaluation, observability, and monitoring for conversation quality, task success rate, latency, cost, and overall system performance
• Build safeguards that improve production readiness and reliability, including testing pipelines, controlled rollouts, drift detection, and mechanisms that prevent error amplification in multi-step workflows
• Prototype quickly, run experiments, and translate successful ideas into durable, scalable software solutions
• Partner closely with engineering, product, QA, infrastructure, and cross-functional teams to deliver meaningful business and customer outcomes

What We're Looking For

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field
• 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems
• Strong proficiency in Python, plus experience with C/C++ or another systems language
• Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns
• Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces
• Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments
• Experience with observability, evaluation, experimentation, and feedback loops for AI systems in production
• Ability to work independently, manage ambiguity, move quickly, and deliver incrementally in a fast-paced environment
• Excellent communication skills, sound engineering judgment, and a collaborative working style
• Fluency across the agentic engineering toolchain—coding harnesses, MCP servers, custom skills, or agent frameworks—with demonstrable projects where you shipped real work with these tools

Nice to Have:

• Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel
• Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter
• Familiarity with ML/DL frameworks such as PyTorch or TensorFlow
• Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will screen your application and conduct an initial conversation to understand your background and goals. If there's a strong mutual fit, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through our recruiting team to ensure a smooth, professional process.

The role is based in Cambridge with a hybrid working arrangement (generally Monday through Thursday in office, with Friday flexible for remote work).

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We value diversity and inclusion in our candidate pool and client partnerships.