AI & Agentic Engineer II - Production Agentic Systems
TheRole
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 AIsolutions, contributes reusable platform patterns and helps raise engineeringstandards, working closely with product, security and platform teams.
You will design end-to-end agentic applications and multi-agentworkflows, 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.
WhatYou 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, errorhandling and thorough tests.
- Integrate LLMs, prompts, tools, APIs andenterprise data sources, using platforms and protocols such as AWS Bedrock,Databricks Mosaic AI and MCP servers.
- Build CI/CD pipelines, automatedevaluation 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 responsibleAI practices, including data governance, privacy and safe prompting.
- Contribute reusable components, patternsand internal libraries.
- Partner with product, security andplatform teams to turn business needs into technical solutions.
WhatWe Are Looking For
- 5+ years of experience in softwareengineering, data science, automation or related technical work (3+ years witha Master's degree), including 2-4 years of relevant work in AI applicationdevelopment, 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 equivalentcombination of education and experience.
- Experience with agent frameworks andpatterns such as tool use, planning and execution loops, guardrails, evaluationand 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 andintegration testing, linting and observability for AI applications.
- Working knowledge of security bestpractices, architecture design and responsible AI and data governance.
- Hands-on experience with cloud AIplatforms, preferably AWS, AWS Bedrock and Databricks Mosaic AI, along withvector stores or retrieval-augmented generation (RAG).
- AI-native engineering experience withcoding agents such as Claude Code, Codex, GitHub Copilot or equivalents.
- Strong communication andcross-functional collaboration skills, with the ability to mentor juniorengineers.
PreferredExperience
- Experience delivering evaluationframeworks, red-teaming or LLM observability tooling.
Perksand Benefits of Working With Us
- Unlimited PTO and generous parentalleave.
- 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 sponsorshipopportunities.
- Manager resources and support.
- Small, dynamic teams with opportunitiesto make an impact.
- Open communication with management andcompany leadership.
- An entrepreneurial culture thatencourages initiative and new ideas.
We are an equal opportunity employer.We celebrate diversity and are committed to creating an inclusive environmentfor all employees. All qualified applicants will receive consideration withoutregard to race, color, religion, sex, sexual orientation, gender identity,national origin, disability, veteran status or any other protectedcharacteristic.