Key Responsibilities
- Design and implement AI-powered products using LLMs, RAG pipelines, and AI Agents.
- Build and optimize prompt engineering, retrieval systems, and vector database integrations.
- Develop and deploy scalable AI/ML models and agentic workflows.
- Establish evaluation frameworks to monitor model quality, reliability, and performance.
- Collaborate with product, engineering, and DevOps teams to deliver AI features end-to-end.
- Implement AI safety, governance, and security best practices.
- Drive innovation by evaluating emerging AI tools, models, and technologies.
Required Skills
- 6+ years of software engineering experience with 3+ years in AI/ML.
- Strong expertise in Python, LLMs (OpenAI, Anthropic, Gemini), and AI Agent frameworks (LangChain, LangGraph, CrewAI).
- Experience with RAG architectures, vector databases, and prompt engineering.
- Hands-on experience with model fine-tuning, deployment, and MLOps.
- Proficiency in React, APIs, SQL/NoSQL databases, Docker, Kubernetes, and Cloud platforms (AWS/GCP/Azure).
- Strong understanding of AI evaluation, monitoring, and production deployment.
Nice to Have
- Experience with multimodal AI models, knowledge graphs, or open-source AI projects.
- Familiarity with TensorRT, ONNX, or edge/on-prem model deployment.
What We Offer
- Opportunity to build cutting-edge AI products with real-world impact.
- Ownership of AI architecture and technical decisions.
- Collaborative, innovation-driven work environment.
- Competitive compensation and career growth opportunities.
Pay: Up to ₹3,500,000.00 per year
Application Question(s):
- Looking for Remote and Pune Location
Experience:
- Embedded: 6 years (Preferred)
- AI Industry Tools: 6 years (Preferred)
- Engineer: 6 years (Preferred)
Location:
- Pune, Maharashtra (Pune, Pune District) (Required)
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
