forward deployed engineer

DATAECONOMY Inc

Boston (MA)

On-site

USD 140,000 - 200,000

Full time

2 days ago
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Job summary

DATAECONOMY Inc. seeks a highly adaptable Forward Deployed Engineer to work on-site with clients in Boston, delivering customized software and AI-driven solutions. The role requires 100% travel and a blend of software engineering, cloud expertise, and client-facing skills.

Candidates should have strong Python and AWS Bedrock skills, hands-on experience with AWS services, and familiarity with Agentic AI frameworks and RESTful APIs. Travel is 100% with domestic and international opportunities.

Qualifications

  • 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).

Responsibilities

  • 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.

Skills

Python
Cloud architecture
Problem solving
Client engagement

Education

Bachelor’s degree in Computer Science / Engineering

Tools

AWS Bedrock
AWS services (EC2, S3, Lambda, API Gateway, RDS, IAM)
Docker
Kubernetes
LangChain
LlamaIndex
Semantic Kernel
CI/CD pipelines

Job description

Job Summary

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.

Job Title:

Forward Deployed Engineer

Location:

Boston, MA

Job Type:

Full-Time

Key Responsibilities
  • 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
Required Qualifications
  • 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
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