forward deployed engineer

We are seeking a highly adaptable and technically strong Forward Deployed Engineer to work directly with clients on-site, delivering customized software and AI-driven solutions. This role requires extensive travel (100%) and a unique blend of software engineering, cloud expertise, and client-facing skills. The ideal candidate will have strong experience in Python, AWS technologies, and emerging Agentic AI systems., * Work closely with clients on-site to understand business requirements and translate them into technical solutions

• Design, develop, and deploy scalable applications using Python and AWS cloud services
• Build and integrate Agentic AI solutions, including autonomous workflows, LLM-based systems, and intelligent agents
• Customize and implement cloud-native architectures tailored to client environments
• Develop APIs, microservices, and data pipelines for real-time and batch processing
• Troubleshoot and resolve technical issues in production environments
• Collaborate with internal engineering, product, and data teams to deliver high-quality solutions
• Ensure best practices in security, scalability, and performance
• Provide technical guidance, training, and documentation to client stakeholders
• Continuously gather feedback from client engagements to improve products and solutions

• Bachelor’s degree in Computer Science, Engineering, or related field
• 6+ years of professional experience in software development or related roles
• Strong proficiency in Python and AWS Bedrock.
• Hands-on experience with AWS services (e.g., EC2, S3, Lambda, API Gateway, RDS, IAM)
• Experience designing and deploying cloud-native applications
• Practical experience with Agentic AI frameworks, LLM integrations, or AI-driven automation systems
• Experience with RESTful APIs and microservices architecture
• Strong debugging, problem-solving, and system design skills
• Willingness and ability to travel 100% (domestic and/or international)

Preferred Qualifications:

• Experience with tools/frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar
• Familiarity with containerization technologies like Docker and Kubernetes
• Experience with CI/CD pipelines and DevOps practices
• Exposure to data engineering or MLOps workflows
• Prior experience in client-facing or consulting roles

Soft Skills:

• Excellent communication and interpersonal skills
• Strong adaptability and ability to work in dynamic environments
• Problem-solving mindset with a proactive approach
• Ability to manage multiple client engagements effectively