AI & Agentic Engineer II – Production Agentic Systems

The Role

Cogniify is hiring an AI & Agentic Engineer II to design, buildand deploy production-grade agentic applications that automate multi-step ITand business workflows. This role delivers spec-driven, testable and secure AI solutions, contributes reusable platform patterns and helps raise engineering standards, working closely with product, security and platform teams.

You will design end-to-end agentic applications and multi-agent workflows, harden prototypes into production-ready services, and build theCI/CD pipelines, evaluation harnesses and observability that AI workloads need.

You will lead prompt, specification and code reviews, promote secure-by-designand responsible AI practices, and mentor junior engineers. This is anindividual contributor role with no travel required.

What You Will Do

• Design and deliver end-to-end agenticapplications and multi-agent workflows for IT and business processes.
• Turn prototypes into hardened,production-ready services with clear specifications, modular design, error handling and thorough tests.
• Integrate LLMs, prompts, tools, APIs and enterprise data sources, using platforms and protocols such as AWS Bedrock,Databricks Mosaic AI and MCP servers.
• Build CI/CD pipelines, automate devaluation harnesses, observability and artifact versioning for AI workloads.
• Write architecture notes, runbooks, SOPsand technical documentation.
• Lead prompt and specification reviews,code reviews, threat modeling and release-readiness gates.
• Promote secure-by-design and responsible AI practices, including data governance, privacy and safe prompting.
• Contribute reusable components, patterns and internal libraries.
• Partner with product, security and platform teams to turn business needs into technical solutions.

What We Are Looking For

• 5+ years of experience in software engineering, data science, automation or related technical work (3+ years witha Master's degree), including 2-4 years of relevant work in AI application development, with hands-on experience in LLM-enabled applications, agenticworkflows and API integrations.
• Bachelor's degree in Computer Science,AI, Data Science, Software Engineering or a related field, or an equivalent combination of education and experience.
• Experience with agent frameworks and patterns such as tool use, planning and execution loops, guardrails, evaluation and prompt and version management.
• Experience building and consuming RESTAPIs and integrating enterprise systems with OAuth/JWT, secrets management andsecure data handling.
• Experience with CI/CD, unit and integration testing, linting and observability for AI applications.
• Working knowledge of security best practices, architecture design and responsible AI and data governance.
• Hands-on experience with cloud AI platforms, preferably AWS, AWS Bedrock and Databricks Mosaic AI, along withvector stores or retrieval-augmented generation (RAG).
• AI-native engineering experience with coding agents such as Claude Code, Codex, Git Hub Copilot or equivalents.
• Strong communication andcross-functional collaboration skills, with the ability to mentor junior engineers.

Preferred Experience

• Experience delivering evaluation frameworks, red-teaming or LLM observability tooling.

Perksand Benefits of Working With Us

• Unlimited PTO and generous parental leave.
• Medical, dental and vision coverage.
• Access to disability and life insurance.
• Mental health and wellbeing support.
• Employer Stock Purchase Program (ESPP).
• Yearly team-building experiences.
• Mentorship and sponsorship opportunities.
• Manager resources and support.
• Small, dynamic teams with opportunities to make an impact.
• Open communication with management andcompany leadership.
• An entrepreneurial culture that encourages initiative and new ideas.

We are an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity,national origin, disability, veteran status or any other protected characteristic.