Agentic AI Engineer
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-10-02
Listing for:
DataJobs
Full Time
position Listed on 2026-10-02
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Zelis is hiring an Agentic AI Engineer to design, build, deploy, and transition production-ready agentic AI for complex healthcare financial workflows.
Responsibilities- Collaborate with business leaders and engineers to spot high-value AI opportunities
- Convert complex healthcare financial problems into scalable agentic AI solutions
- Select the right approach for each use case: apply AI when reasoning and ambiguity are required, and use deterministic software, rules, and controls when they improve reliability
- Design, build, and deploy production-ready AI agents and applications
- Develop agent workflows, tool integrations, APIs, data pipelines, and orchestration layers
- Partner with stakeholders through discovery, implementation, launch, and handoff
- Drive improvements in automation, decision support, accuracy, and operational efficiency
- Identify reusable agentic patterns that strengthen the core platform
- Resolve ambiguous problems without an existing playbook
- Validate outcomes, establish guardrails, and transition solutions to long-term owning teams
- ~3–5 years building software or AI products in startups, applied AI, innovation, consulting, or similar fast-moving environments
- Experience taking AI or production software from prototype through launch
- Hands‑on experience with LLMs, agents, RAG, tool use, APIs, or modern AI frameworks
- Ability to partner with internal business stakeholders or customers to understand complex problems, lead technical discussions, and translate needs into practical solutions
- Strong software engineering fundamentals in at least one modern programming language
- Experience deploying cloud-based production systems
- Capacity to evaluate agent behavior, system performance, and appropriate AI guardrails
- Comfort operating in ambiguity and owning work from discovery through handoff
- Strong communication skills with both technical and business stakeholders
- Demonstrated curiosity and hands‑on experimentation with AI through professional work, open source, personal projects, agents, automations, or other technical exploration
- Builder mindset focused on curiosity, experimentation, and ownership
- Preference for impact through what you have built, including experimentation with AI, building agents, and shipping projects
- LLMs
- Agents
- RAG
- APIs
- Modern AI frameworks
- 401k plan with employer match
- Flexible paid time off
- Holidays
- Parental leaves
- Life and disability insurance
- Health benefits including medical, dental, vision, and prescription drug coverage
- Boston, MA (hybrid)
- Zelis is headquartered in the U.S., with multiple locations across the country and in Hyderabad, India
- Employee work locations are based on the needs of the position and determined by Leadership
- In‑office work and activities vary by work and team objectives in accordance with Company policies
- Candidates within approximately 50 miles of a U.S. office are generally preferred for collaboration when needed
- Hybrid approach is flexible, with in‑office presence guided by team and business needs rather than a fixed weekly schedule
USD 163, per year
Accessibility SupportIf you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, email .
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