Positions: 1 full-time role
Experience: 4–8 years
Skills
Large language models, artificial intelligence, and machine learning
Location and Work Mode
Pune, Maharashtra, India (hybrid)
Role Summary
Design, develop, and scale production-grade AI and GenAI applications, including agentic systems and enterprise integrations.
Key Responsibilities
- Build and deploy end-to-end AI and GenAI systems, including RAG, agents, and automation workflows.
- Design APIs and microservices for scalable AI solutions.
- Implement robust data pipelines and retrieval systems.
- Optimize prompt engineering, evaluation, and model performance.
- Ensure the reliability, observability, and scalability of AI services.
- Collaborate with stakeholders to deliver AI-driven solutions.
- Mentor junior engineers and contribute to best practices.
Required Skills
- 4–8 years of experience in software engineering or AI roles.
- Strong programming skills in Python or TypeScript; Java or Go is a plus.
- Hands-on experience with LLMs, RAG pipelines, and AI frameworks.
- Experience building APIs and working with distributed systems.
- Familiarity with Kubernetes, Docker, and CI/CD pipelines.
- Experience with cloud platforms such as AWS, Azure, or GCP.
Preferred Skills
- Experience with agent frameworks such as LangGraph or Semantic Kernel.
- Knowledge of vector databases and hybrid search techniques.
- Strong understanding of system design, scalability, and performance tuning.
- Exposure to enterprise system integrations such as CRM, ERP, or ITSM.
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