About this role
Summary: Develop and enhance an enterprise AI platform using Python, LangGraph, and LangChain to enable intelligent workflows and conversational experiences. The role involves building scalable AI solutions, integrating agents with enterprise systems, and optimizing performance within an Agile environment.
Company Description
Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.
Job Description
Miratech is looking for a skilled Senior AI Engineer with Python, LangGraph and LangChain to join our US Healthcare client. You will play a key role in developing and enhancing an enterprise AI platform that enables intelligent workflows, conversational experiences, and AI-powered automation across multiple business functions. This is an exciting opportunity to work with cutting-edge agentic AI architectures, build scalable AI solutions, and collaborate with a high-performing engineering team to accelerate innovation and business impact.
Responsibilities
- Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
- Build and extend AI-enabled guided workflows and automation capabilities.
- Design, develop, and optimize conversational AI and chat-based experiences.
- Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
- Integrate AI agents and applications with enterprise systems, services, and APIs.
- Support modern AI integration frameworks and agent communication patterns.
- Implement AI observability, monitoring, telemetry, and performance tracking capabilities.
- Collaborate closely with engineering teams and stakeholders to accelerate platform development and business use case delivery.
- Troubleshoot technical challenges, improve solution reliability, and drive continuous platform enhancements.
- Contribute to architecture discussions, best practices, and the adoption of scalable AI engineering standards.
Qualifications
- 8+ years of hands-on experience in Software Engineering and enterprise application development.
- 4+ years of experience in Python development.
- 2+ years of hands-on experience with LangGraph, including agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.
- 2+ years of experience with LangChain, including building LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.
- Strong understanding of agentic AI concepts, including AI agents, planning, orchestration, memory management, and tool-calling frameworks.
- Experience building and deploying production-grade Generative AI applications and solutions.
- Experience integrating AI applications with enterprise platforms, backend services, and APIs.
- Experience designing and implementing conversational AI and chat-based applications in production environments.
- Familiarity with AI observability, monitoring, telemetry, and evaluation platforms.
- Strong knowledge of software engineering best practices, testing, debugging, and performance optimization.
- Experience working in Agile development environments and collaborating with cross-functional teams.
- Excellent problem-solving, communication, and stakeholder management skills.
Nice to Have
- Hands-on experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
- Experience building and deploying multi-agent AI solutions in production.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems.
- Experience working with vector databases and semantic search technologies.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience working on centralized AI platforms supporting multiple business functions and use cases.
- Exposure to healthcare or other highly regulated enterprise environments.
Additional Information
We offer:
- Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
- Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
- Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
- Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
- Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
- Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
- Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
- *Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.*