LeewayHertz
Website:
leewayhertz.com
Job details:
Job Description
This is a remote position.
Job Description
We are hiring a GenAI Software Engineer with 3–5 years of software engineering experience and expertise in Generative AI, LLMs, and AI Agents. The candidate should have strong problem-solving skills, solid DSA knowledge, and good communication abilities. You will build AI-powered enterprise applications and scalable backend systems. The role includes developing LLM pipelines, RAG workflows, and AI-driven solutions. You will work closely with cross-functional teams to deliver production-grade GenAI applications. Experience with modern cloud-native technologies is highly preferred.
Responsibilities
- Design, develop, and deploy AI Agents and GenAI solutions using frameworks such as LangChain, LangGraph, and Azure AI Foundry for enterprise-grade automation workflows.
- Build and maintain Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and LLMs for contextual and accurate AI responses.
- Fine-tune large language models using parameter-efficient techniques such as LoRA and QLoRA on domain-specific datasets.
- Architect and implement scalable backend services using Python, FastAPI, Node.js, and serverless cloud platforms.
- Write clean, optimized, and maintainable code with strong adherence to DSA fundamentals and software engineering best practices.
- Participate in technical discussions, code reviews, architecture planning, and design reviews to maintain engineering quality standards.
- Collaborate with product managers, business analysts, and stakeholders to translate business requirements into technical implementations.
- Optimize LLM cost, performance, and latency through prompt engineering, caching strategies, model selection, and inference optimization.
- Develop AI-powered automation workflows integrating enterprise tools such as Jira, Confluence, SAP, and CI/CD systems.
- Mentor junior engineers and contribute to internal knowledge sharing through documentation, technical sessions, and collaborative discussions.
- Participate in sprint planning, stand-ups, sprint reviews, and Agile development processes.
- Stay updated with emerging trends in Generative AI, Agentic AI systems, LLM architectures, and cloud-native AI tooling.
Requirements
Essential Skills
Job
- Strong proficiency in Python and at least one additional programming language, such as JavaScript or TypeScript.
- Hands-on experience with GenAI frameworks, including LangChain, LangGraph, Hugging Face, or equivalent technologies.
- Strong expertise in Data Structures & Algorithms (DSA), including arrays, strings, linked lists, stacks, queues, trees, graphs, recursion, sorting, searching, hashing, and dynamic programming.
- Ability to solve algorithmic and problem-solving challenges with optimized approaches and a clear understanding of time and space complexity using Big-O notation.
- Hands-on experience solving coding problems similar to LeetCode medium-level questions as part of technical assessments and interviews.
- Strong understanding of selecting optimal solutions and explaining trade-offs between multiple approaches.
- Experience building and deploying Retrieval-Augmented Generation (RAG) systems.
- Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, or Cosmos DB.
- Strong understanding of REST APIs, backend architecture, and scalable system design principles.
- Foundational knowledge of scalable system design concepts including caching, load balancing, distributed systems, concurrency, and performance optimization.
- Experience with cloud platforms such as AWS (Lambda, S3, EventBridge) and/or Azure (Functions, AI Foundry, Blob Storage).
- Working knowledge of databases, including MongoDB, MySQL, Redis, and PostgreSQL.
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and Git workflows.
- Understanding of prompt engineering, LLM optimization, embeddings, and AI orchestration workflows.
- Knowledge of system scalability concepts including caching, load balancing, distributed systems, and performance optimization.
Personal
- Strong analytical and problem-solving capabilities.
- Excellent verbal and written communication skills.
- Ability to explain complex AI concepts to technical and non-technical stakeholders clearly and confidently.
- Strong collaboration and teamwork abilities in distributed and cross-functional environments.
- Attention to detail with a quality-focused engineering mindset.
- Strong ownership, accountability, and a proactive learning attitude.
Preferred Skills
Job
- Experience with MCP (Model Context Protocol) and multi-agent orchestration systems.
- Exposure to mobile application development using Flutter.
- Familiarity with enterprise integrations such as SAP, Salesforce, and RPA tools.
- Experience with prompt evaluation and observability frameworks such as LangSmith or Promptfoo.
- Exposure to microservices architecture and event-driven systems.
- Experience contributing to open-source AI/ML projects or writing technical blogs.
- Understanding of AI security, responsible AI practices, and governance principles.
Personal
- Strong presentation and client-facing communication skills.
- Ability to lead technical discussions and mentor junior engineers.
- Passion for continuous learning and exploring emerging AI technologies.
Other Relevant Information
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- DSA and algorithmic problem-solving skills will be considered primary evaluation criteria in the first round of interviews. Candidates are expected to demonstrate strong coding proficiency, optimization skills, and clear problem-solving approaches.
- 3–5 years of professional software engineering experience with at least 1–2 years focused on GenAI or LLM-based applications.
- Experience working on enterprise-scale AI systems and cloud-native applications is highly desirable.
- Flexible hybrid/remote working arrangement.
- Opportunity to work on cutting-edge GenAI and Agentic AI projects with real-world impact.
- Collaborative and learning-oriented engineering culture with regular tech talks and innovation initiatives.
- Competitive compensation, health benefits, and professional development support.
- Access to the latest AI tools, cloud credits, and research resources.
Benefits
- This role offers the flexibility of working remotely in India.
LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants.
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