<div>Umanist Staffing LLC A Small Business Enterprise (SBE); as per the gov of the USA, is the global advisor on niche skills workforce solutions. </div>

Umanist Staffing LLC

AI/ML Developer
 Location: Pune, Maharashtra Experience: 6–9 Years Notice Period: Immediate to 45 Days(525)
Role Summary
We are looking for an experienced AI Engineer to design, develop, and scale production-grade AI and Generative AI applications.
The role involves building LLM-powered applications, RAG pipelines, agentic systems, automation workflows, APIs, and enterprise integrations. The ideal candidate should have strong software engineering fundamentals, hands-on AI/GenAI experience, and excellent communication skills.
Key Responsibilities
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Design, develop, and deploy end-to-end AI and GenAI applications.
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Build and integrate LLM-powered applications, RAG pipelines, AI agents, and automation workflows.
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Develop scalable APIs and microservices for AI solutions.
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Design and implement robust data pipelines and retrieval systems.
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Work on prompt engineering, model evaluation, and performance optimization.
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Build reliable and scalable AI services suitable for production environments.
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Implement observability, monitoring, and reliability practices for AI applications.
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Work with distributed systems and cloud-based architectures.
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Collaborate with technical and business stakeholders to develop AI-driven solutions.
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Contribute to system design, engineering best practices, and technical documentation.
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Mentor junior engineers and support knowledge-sharing initiatives.
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Must-Have Skills
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5+ years of relevant professional experience in software engineering and/or AI roles.
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Strong hands-on programming experience in Python or JavaScript/TypeScript
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Practical 4+yrs of work experience working with Large Language Models (LLMs),RAG 
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Hands-on experience building RAG pipelines.
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Experience with AI/ML frameworks and libraries.
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<li>Strong and in depth work experience with APIs, microservices, and databases (SQL/NoSQL)</li>
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Strong understanding of Artificial Intelligence and Machine Learning concepts.
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Experience building and integrating APIs and microservices.
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Experience working with distributed systems.
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Familiarity with Kubernetes and Docker.
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Experience with CI/CD pipelines and DevOps practices.
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Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.
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Excellent verbal and written communication skills.
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Strong problem-solving and collaboration skills.
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Nice-to-Have Skills
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Experience with agentic AI and agent frameworks such as:
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LangGraph
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Semantic Kernel
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Knowledge of vector databases.
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Understanding of hybrid search and advanced retrieval techniques.
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Strong knowledge of system design, scalability, and performance tuning.
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Experience with enterprise system integrations, such as:
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CRM
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ERP
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ITSM
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Experience designing production-grade AI platforms and services.
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Knowledge of AI application observability, evaluation, and monitoring.
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Keywords shuld be highlighted in resume:
AI Engineer | Generative AI | GenAI | LLM | Large Language Models | RAG | AI Agents | Python | TypeScript | Machine Learning | APIs | Microservices | Kubernetes | Docker | CI/CD | AWS | Azure | GCP | Vector Database | Hybrid Search