Technical Expertise

- GenAI & Orchestration: Expert-level development using Lang Chain and Lang Graph; specialized in multi-step RAG, agentic workflows, and tool-augmented chains.
- NLP & Text Processing: Mastery of document parsing, chunking strategies, embeddings, and retrieval optimization.
- Core Engineering: Advanced Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and backend service development using FastAPI.
- Vector Infrastructure: Proven experience building and maintaining pipelines with FAISS, AWS Open Search, or similar vector databases.
- Cloud Ecosystems (Mandatory): High proficiency in either AWS (SageMaker, Lambda, ECS, Step Functions) or Azure (Azure OpenAI, Functions, App Services).
- MLOps & DevOps: Strong grasp of the ML lifecyclemonitoring, versioning (MLflow), and CI/CD pipelines (Jenkins, GitHub Actions).

How Youll Make an Impact

- Design & Own: Lead end-to-end ML/GenAI workflows, from data ingestion and preprocessing to deployment and inference.
- Build Production Systems: Architect robust GenAI systems including API design, data pipelines, and scalable monitoring.
- Optimize Everything:



Continuously evaluate and refine prompts, chains, and agents to improve accuracy while balancing latency and cost efficiency.
- Collaborate & Integrate: Partner with cross-functional teams to weave AI capabilities into energetic applications for seamless user experiences.
- Ensure Excellence: Write high-quality, testable code and conduct rigorous unit/integration testing to ensure system reliability.
- Diagnose & Scale: Resolve complex performance and reliability issues across diverse environments.

What You Bring

- Experience: 4+ years of professional experience as an AI, ML, or Software Engineer, specifically building production-grade applications.
- Education: Bachelors degree in Computer Science, Information Technology, or Software Engineering.
- Engineering Rigor: A strong software background with experience in version control (Git) and Agile development.
- Problem Solving: A sharp analytical mind with the communication skills to align technical solutions with business goals.

📌 AI Ml Engineer (New Delhi)
🏢 Bidzen.ai
📍 New Delhi