Design, build, deploy, and maintain production-grade AI applications including LLMs, RAG, agentic workflows, and AI-enabled automation. Integrate AI into enterprise systems, develop APIs/backend services, implement CI/CD, monitoring, and optimize performance while collaborating with cross-functional teams.
Role Overview
We are seeking experienced AI / Automation Engineers to support the design, development, deployment, and maintenance of AI-powered solutions across multiple business functions.
The successful candidates will be responsible for building and supporting production-grade AI applications, implementing Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, intelligent automation workflows, and AI-enabled enterprise applications.
This role requires hands-on experience delivering AI solutions from concept through deployment and operational support.
- Design, develop, deploy, and support AI-driven applications and services.
- Build and maintain Large Language Model (LLM) solutions for enterprise use cases.
- Design and implement Retrieval-Augmented Generation (RAG) solutions.
- Develop AI-powered automation and agentic workflows.
- Integrate AI capabilities into enterprise applications and business processes.
- Develop APIs and backend services to support AI solutions.
- Build and maintain CI/CD pipelines for AI applications.
- Implement monitoring, logging, and performance optimization frameworks.
- Collaborate with cross-functional teams to identify and deliver AI use cases.
- Ensure AI systems are secure, scalable, reliable, and production-ready.
RequirementsRequired Qualifications
- Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field.
- Minimum of 5 years' experience in software engineering or AI solution development.
- Demonstrated experience building and deploying AI-powered applications in production environments.
AI & Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents / Agentic Workflows
- Generative AI Applications
- NLP and AI-powered Automation
- Python (Mandatory)
- SQL
- Scripting (Bash or PowerShell)
Experience with one or more of:
- LangChain
- LangGraph
- LlamaIndex
- OpenAI APIs
- Azure OpenAI Service
- Anthropic Claude
- Vector Databases (Pinecone, FAISS, ChromaDB, pgvector)
Experience with one or more of:
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
- GitHub Actions
- Azure DevOps
- Docker
- CI/CD Pipelines
- Monitoring and Logging Tools
Key Competencies
- Strong analytical and problem-solving skills
- Ability to translate business requirements into AI solutions
- Excellent communication and stakeholder management skills
- Strong ownership and accountability
- Ability to work independently and collaboratively
- Continuous learning mindset
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
