Senior AI Software Engineer ID87002

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