Jobs at Dash Technologies

Develop and maintain Generative AI applications using Python, FastAPI, LLM APIs, and RAG pipelines. Build integrations, REST APIs, database functionality, embeddings and retrieval workflows, automated tests, and Dockerized services. Troubleshoot application, API, database, and LLM issues while collaborating with senior engineers and architects. Participate in code reviews, documentation, and technical discussions while growing expertise in agentic AI, LangGraph, evaluation, guardrails, and cloud-based AI deployment.

Design, build, evaluate, and deploy production-grade generative AI, RAG, and agentic systems. Develop LLM applications, multi-agent workflows, backend APIs, evaluation frameworks, guardrails, and AI knowledge systems using Python, FastAPI, vector databases, cloud platforms, and containerization. Collaborate with architects and engineering teams to optimize performance, reliability, scalability, security, and cost while supporting production systems and exploring emerging AI technologies.

Drive new business growth in the US market by acquiring new customers, managing the full B2B sales cycle, leading discovery and consultative selling, developing account strategies, negotiating proposals, closing deals, and achieving revenue quotas. The role requires selling IT services, software development, engineering services, or SaaS solutions to US-based enterprises, with frequent travel to the USA and collaboration across US and India teams.

Manage multiple technical projects across product, engineering, and infrastructure teams from discovery through delivery. Define scope, schedules, resources, and deliverables; facilitate Agile ceremonies; coordinate technical and non-technical stakeholders; and manage risks, issues, scope changes, metrics, and reporting. The role requires strong understanding of software development lifecycles, cloud technologies, system architecture, and project management tools.

Leads development of enterprise Java applications using Spring Boot microservices, Oracle databases, and React. Responsibilities include architecture implementation, database optimization, code reviews, CI/CD and cloud deployment, stakeholder collaboration, team leadership, mentoring, monitoring, and performance optimization. The role requires supporting a global US-India delivery model and maintaining production-grade applications with high availability.

Build and maintain Python-based AI applications, FastAPI microservices, REST APIs, and data-processing pipelines. Develop prompt-engineering workflows, integrate databases, and implement reliable validation, error handling, retries, and scalable asynchronous architectures. Collaborate with stakeholders on production solutions, AI proof-of-concepts, and rapid prototypes while optimizing performance, reliability, and cost. Own API contracts, service quality, documentation, and end-to-end delivery across multiple AI initiatives.

Own new business development and commercial account growth across U.S. State, Local, and Education clients. Responsibilities include researching prospects, conducting daily outbound outreach, qualifying RFP/RFI opportunities, booking meetings, managing CRM activity, handling renewals and extensions, expanding existing accounts, and coordinating with delivery and leadership teams. The role requires familiarity with U.S. SLED procurement, staffing or IT services sales, VMS/MSP environments, and strong American English communication.

Sources, screens, and recruits IT professionals for US government, state, and commercial clients. Manages contract, contract-to-hire, and permanent placements; evaluates technical qualifications, visa and work eligibility, and compliance requirements. Uses ATS, VMS/MSP platforms, job portals, LinkedIn Recruiter, and Boolean sourcing. Coordinates interviews, references, negotiations, onboarding, documentation, and candidate relationships while maintaining pipelines and providing market insights.

Supports outbound B2B technology sales targeting US healthcare and MedTech prospects. Responsibilities include making high-volume calls, engaging decision-makers, introducing company capabilities, generating interest, scheduling meetings, recording outcomes in a CRM, meeting activity targets, and participating in sales training. The role is designed for fresh MBA graduates and includes structured mentorship and career development.

Designs scalable, secure enterprise architectures using .NET, Azure, and relational databases. Translates business requirements into technical designs, leads modernization and cloud transformation initiatives, defines architecture standards, and provides technical guidance throughout delivery. The role also oversees database optimization, integrations, CI/CD, observability, security, resilience, governance, and cost efficiency while mentoring development teams and collaborating with stakeholders.

Qualify and nurture prospective students and professionals through discovery calls, identify career needs, create urgency, and schedule qualified candidates for career consultations. Maintain accurate CRM records, manage follow-ups and presentation attendance, coordinate handoffs to senior advisors, and meet demanding call, conversation, booking, conversion, and CRM compliance KPIs while engaging U.S.-based prospects during a night shift.

Own customer AI implementations from discovery through deployment by translating workflows into agent requirements, writing and testing prompts, evaluating outputs, and coordinating feedback with engineering. Serve as the customer’s internal advocate, support onboarding, prioritize product improvements, and develop repeatable deployment processes. The role requires strong communication, self-direction, technical fluency, and daily on-site work in Dublin, Ohio.