Forward Deployed AI Engineer
Locus Robotics14 days ago
Wilmington, MA, USAMid Level
H1B sponsor
Base Salary
$150k - $200k/yr
Responsibilities
- Partner with internal teams to identify opportunities to improve manual and complex workflows with AI.
- Translate ambiguous business challenges into secure, production-ready AI tools and workflows.
- Design, build, and deploy AI agents, assistants, and automated workflows using large language models, retrieval, tool integrations, structured outputs, and human oversight.
- Build secure integrations with enterprise systems and data using APIs, connectors, MCP, and related integration methods.
- Develop retrieval and grounding capabilities using ingestion, metadata, embeddings, search, and reranking techniques.
- Implement authentication, authorization, audit logging, observability, cost controls, and human-in-the-loop safeguards.
- Build automated evaluations and regression testing, support deployment and monitoring, and improve solution performance, reliability, cost, and user outcomes.
- Measure business impact, document successful implementations, and create reusable components, templates, and reference architectures.
- Stay current with AI models, agent frameworks, integration standards, and enterprise AI practices while supporting adoption across the company.
Requirements
- Bachelor’s degree in computer science, engineering, or a related technical discipline.
- 4+ years of professional software engineering experience building, deploying, and supporting production applications.
- Strong Python proficiency and experience building APIs, integrations, and automation for enterprise systems and data.
- Hands-on experience with large language models, commercial or open model APIs, AI agents, and agentic workflows.
- Experience deploying enterprise AI agents or agentic workflows using platforms such as Claude and Glean.
- Ability to work directly with business stakeholders and turn ambiguous needs into practical technical solutions.
- Working knowledge of retrieval-augmented generation, embeddings, semantic or hybrid search, prompt and context engineering, and structured model outputs.
- Experience integrating platforms such as Microsoft 365, Salesforce, Slack, Jira, Confluence, ERP systems, and modern data platforms.
- Understanding of enterprise application security, including authentication, authorization, OAuth/OIDC, role-based access controls, and permission-aware data access.
- Familiarity with MCP or similar standards for connecting AI models and agents with enterprise tools and data.
- Knowledge of vector databases, enterprise search, and knowledge retrieval systems.
- Proficiency with automated testing, version control, CI/CD, application observability, and production support.
- Strong ownership, judgment, cross-functional collaboration, and written and verbal English communication skills.
Benefits
- Base salary range of $150,000–$200,000 annually, plus bonus and equity.
- Equal opportunity employer.
Tech Stack
Categories
Forward Deployed
About Locus Robotics
Locus Robotics builds autonomous mobile robots and the LocusONE software platform to automate warehouse picking, replenishment, sorting, and pack-out for e-commerce, 3PL, retail, and healthcare fulfillment operations. Its Robots-as-a-Service model provides fleets, orchestration software, and support on a subscription basis, enabling rapid deployment and scaling. Founded in 2014 and headquartered in Wilmington, Massachusetts, the company is privately held and operates across global fulfillment sites.