Top Tech Jobs & Startup Jobs in Boston, MA

Build and operate production-grade agentic AI systems for enterprise SaaS, including orchestration, MCP tools, memory, RAG, knowledge retrieval, security guardrails, evaluation, and observability. Own products from prototyping through production, make tradeoffs among accuracy, latency, reliability, and cost, support incident response, create reusable tooling, and mentor engineers. The role requires expert Python, cloud-native infrastructure, distributed systems, and hands-on LLM production experience.

Qualifies inbound leads, conducts targeted outbound prospecting, researches entertainment production activity, prioritizes marketing-qualified leads, supports Account Executives, maintains CRM records, and develops consultative selling skills for progression into an Account Executive role.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.

Build and operate PEMCO’s end-to-end AI platform, including GPU infrastructure, model serving, AI gateways, retrieval systems, agent orchestration, observability, evaluation, cost telemetry, security, and governance. Lead production deployment, monitoring, incident response, lifecycle management, and architecture standards for AI systems. Optimize model routing, costs, performance, and reliability across Azure and potential on-premises environments while influencing organization-wide AI platform and governance decisions.

The Studio Engineer bridges industrial design and mechanical engineering for autonomous transit vehicles. Responsibilities include physical vehicle architecture, advanced CAD surfacing, digital master modeling, tolerance analysis, rapid prototyping, design for high-volume manufacturing, vendor collaboration, factory bring-up, and establishing cosmetic and finish standards. The role protects design intent while delivering manufacturable, production-ready interior and exterior components.

Conduct continuous manual penetration testing across network, web application, cloud, and social engineering attack surfaces. Pursue findings through post-exploitation, lateral movement, privilege escalation, and business-impact validation. Communicate results to technical and non-technical clients, lead debriefs, improve team tooling, direct AI and automation, mentor junior testers, and collaborate with R&D to operationalize repeatable techniques.

Build and operate production AI and LLM systems for safety-critical enterprise applications. Responsibilities include multi-step agent orchestration, retrieval across Neo4j and vector stores, evaluation frameworks, model comparison, observability, quality monitoring, failure handling, and production incident response. The role requires strong Python and experience with asynchronous services, LLM workflows, evaluation, retrieval, graph reasoning, and enterprise AI security. It also contributes to model selection, technical direction, and the AI roadmap.

Build and operate production AI agents, including autonomous coding systems, retrieval and knowledge layers, MCP tooling, evaluation frameworks, and secure LLM workflows. Improve model cost, latency, reliability, and observability on AWS Bedrock while integrating Snowflake, documentation, knowledge graphs, Jira, Slack, and developer workflows. Responsibilities include prompt and model evaluation, security hardening, design documentation, code review, mentoring, and on-call ownership.

Join Impact Scale’s ongoing talent network for potential future opportunities in growth and strategy, creative production, or technology and engineering. The company seeks affiliate managers, media buyers, campaign managers, video editors, content creators, back-end developers, and software engineers. This is a talent pipeline rather than an application for a specific immediate opening.

Build and deploy production-grade AI applications and agentic systems for client organizations. Translate ambiguous business needs into architectures, prototypes, workflows, APIs, data pipelines, and scalable products. Engineer agent harnesses, orchestration graphs, evaluations, observability, safeguards, and human controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales. Occasional travel may be required for client engagements.