Build production-grade AI applications, backend services, agents, agentic workflows, and MCP integrations using Java and/or Python. Integrate LLMs with enterprise tools, implement prompting, context management, tool calling, memory, evaluation, safety, and reliability patterns. Collaborate cross-functionally on scalable AI architectures, troubleshoot production issues, improve observability and efficiency, support releases, and document engineering best practices.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior AI Engineer to build AI-powered applications, agents, and MCP integrations connecting intelligent systems to business tools. Working in Java and/or Python, this person turns LLM capabilities into production-grade backend services, balancing performance, reliability, and cost. Comfort moving between experimentation and production support matters here.
WHAT YOU WILL DO
- Design, build, and enhance AI-powered applications and backend services for internal or customer-facing use cases.
- Build and maintain AI agents and agentic workflows that can reason, orchestrate tasks, and integrate with enterprise tools and services.
- Develop MCP-based integrations and tool interfaces that enable AI systems to interact securely with external platforms, APIs, and business systems.
- Implement prompt orchestration, context handling, tool calling, memory patterns, and evaluation workflows for reliable agent behavior.
- Collaborate with engineering, product, and architecture teams to define scalable patterns for AI agent development and deployment.
- Integrate LLM capabilities into software systems while balancing performance, reliability, cost, and safety.
- Investigate system issues, improve quality and observability, and optimize AI workflow efficiency in production environments.
- Participate in code reviews, release support, experimentation, and production incident resolution.
- Create technical documentation and contribute to best practices for AI engineering, agent development, and MCP adoption.
MUST HAVES
- 4+ years of experience in software engineering, backend engineering, or applied AI engineering.
- Strong programming skills in Java and/or Python.
- Hands-on experience building AI-powered applications or integrating LLM capabilities into production systems.
- Experience designing or building AI agents, multi-step orchestration workflows, or tool-using automation systems.
- Experience with MCP or similar integration patterns for connecting AI systems to external tools, APIs, or enterprise platforms.
- Strong understanding of system design, APIs, distributed systems, and production software engineering fundamentals.
- Familiarity with prompt design, context management, evaluation approaches, and reliability patterns for agent-based systems.
- Proven ability to work effectively in fast-paced delivery environments.
- Delivery-oriented and comfortable operating across development, experimentation, and production support responsibilities.
- Effective at collaborating with cross-functional teams under tight timelines.
- Strong ownership mindset with practical problem-solving skills.
- Upper-intermediate English level.
NICE TO HAVES
- Experience with multi-agent systems, retrieval-augmented generation, semantic search, or vector-based architectures.
- Familiarity with cloud-native infrastructure, monitoring, and observability for AI services.
- Experience with model evaluation, guardrails, safety patterns, and prompt/version lifecycle management.
- Experience integrating AI solutions with enterprise platforms such as Salesforce, Jira, Slack, or internal developer tools.
- Background in workflow automation, event-driven systems, or backend platforms that support AI-enabled products.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
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