Role Description - Design, develop, and deploy AI-powered agents using modern frameworks and tools. - Develop and optimize prompt engineering strategies for LLM-based applications. - Build robust and scalable backend services, APIs, and microservices to support AI solutions. - Integrate AI agents with enterprise systems and workflows. - Collaborate with frontend teams and contribute to UI integration when needed. - Work with AI/ML models, including evaluation and optimization. - Ensure performance, scalability, and reliability of AI systems. - Implement logging, monitoring, and tracing for AI workflows. - Conduct testing, validation, and benchmarking of AI solutions. - Stay updated with advancements in AI, LLMs, and agent-based architectures. Qualifications - Strong understanding of AI/ML concepts (NLP, model evaluation, etc.). - Hands-on experience with LLMs and prompt engineering. - Strong expertise in backend development (Python, Node.js, .NET, APIs, microservices). - Experience with RESTful APIs and system integrations. - Expertise in at least one cloud platform (AWS or Azure). - Familiarity with databases, data processing, and system design. - Experience with Git and CI/CD pipelines. - Understanding of security and data privacy (PII/PHI). Requirements - Strong problem-solving and analytical thinking skills. - Excellent communication and collaboration abilities. - Ability to work in fast-paced, agile environments. - Detail-oriented with a focus on quality and performance. Preferred Skills - Working knowledge of frontend frameworks (Angular, React, etc.). - Experience with AI agent frameworks (LangChain, Semantic Kernel, AutoGen). - Exposure to workflow automation/tools. - Familiarity with vector databases and embeddings. - Experience with monitoring and observability tools. Other Relevant Information - Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field. - Relevant certifications in AI/ML or cloud platforms are a plus. - Strong portfolio or project experience in AI/LLM-based applications is preferred. - This role offers the flexibility of working remotely in India. - LeewayHertz is an equal opportunity employer and does not discriminate based on race, colour, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants.

• Participate in high-functioning software development projects, including design and test • Interpret requirements and design specifications to develop, debug, test and maintain software applications to be deployed against a broad array of platforms and cloud services • Present complex technical information to team members and stakeholders • Facilitate consensus building and resolution of complex technical challenges • Learn and engage with new technologies that will contribute to your professional development.

• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project • Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it • Determining and implementing design methodologies and tool sets • Enabling application development by coordinating requirements, schedules, and activities • Leading/supporting UAT and production roll outs • Creating, understanding, and validating WBS and estimated effort for given module/task, and justifying it • Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement • Giving constructive feedback to the team members and setting clear expectations • Helping the team in troubleshooting and resolving complex bugs • Coming up with solutions to any issue raised during code/design review and justifying the decision taken • Carrying out POCs to ensure that suggested design/technologies meet the requirements

• Own and optimise the GTM stack across CRM (HubSpot), enrichment, sequencing, dialers, intent, enablement, and CPQ tools • Evaluate new tools and drive build vs. buy vs. integrate decisions • Ensure clean integrations, reliable data flows, and eliminate redundant fields, broken syncs, and zombie workflows • Design end-to-end automated workflows across the GTM lifecycle (lead → enrichment → routing → sequencing → handoff → renewal) • Build agentic AI workflows that trigger next-best actions across Sales, CX, and Marketing • Architect multi-step, AI-assisted automations using tools like Clay, n8n, Make, Zapier, and APIs to eliminate manual work • Own CRM integrity as the single source of truth (field standards, lifecycle mapping, deduplication, ownership rules) • Build automated pipelines for enrichment, scoring, routing, and ensure strong data governance across GTM • Develop dashboards and analyse funnel metrics (conversion, velocity, churn, attribution) to surface insights and support forecasting • Act as the technical bridge between RevOps and GTM teams, translating business needs into scalable systems • Run discovery sessions to identify workflow gaps and convert them into automation solutions • Document workflows, integrations, and logic in a shared runbook to ensure scalability and continuity