Generative AI Engineer
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About the Role:-
We are seeking a Generative AI Engineer with 2+ years of experience to build and scale production-ready Agentic Systems using Large Language Models (LLMs). You will work on RAG pipelines, agent workflows, evaluation, and deployment of reliable AI systems.
Key Responsibilities:-
-Build retrieval-augmented generation (RAG) pipelines with embeddings, hybrid search, and reranking
-Implement agent orchestration, tool/function calling, and prompt management
-Develop evaluation, monitoring, and observability for LLM systems
-Ensure AI safety, governance, and data privacy best practices
-Optimize performance using caching, batching, and streaming
-Package solutions as APIs/SDKs and deploy using cloud-native tools
Tech Stack:-
-Languages: Python (primary), TypeScript
-Frameworks: FastAPI/Flask, LangChain/LlamaIndex
-LLMs: OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock
-Infra: Docker, CI/CD, Terraform/CDK
-Cloud: AWS / Azure / GCP (any one)
Requirements:-
-2+ years of software or AI engineering experience
-Strong Python and backend development skills
-Hands-on experience with LLMs and cloud deployments
-Understanding of scalable systems and data security
What We Offer:-
-Work on cutting-edge Generative AI products
-High ownership and learning opportunities
-Competitive compensation and growth
Job ID: 136456609
Skills:
Machine Learning, Pyspark, Hypothesis Testing, Microservices, Sql, Rest Apis, Python, LangChain, Generative AI, LLMs, Model Evaluation, cloud-native deployments, Statistics, vector databases, Function Calling AI Agents, Structured Outputs, DSPy, semantic search technologies, NLP techniques, Prompt Engineering, LlamaIndex, RAG architectures
Skills:
AWS, Azure, Gcp, Python Programming, ML Flow, Agentic AI, Generative AI
Skills:
S3, Deduplication, ELT, Tensorflow, Nlp, Pytorch, Python, AWS, Matplotlib, Azure ML, Git, Gcp, Databricks, Azure, Etl, scikit-learn, Hugging Face Transformers, standardization, Cleansing, data quality techniques, enrichment, Vertex AI, AI ML libraries, Streamlit, LangChain, LLMs, Plotly, SageMaker, Profiling, Glue
Skills:
Cloud deployment, Tensorflow, Pandas, Api Integration, Pytorch, Python, Git, MLflow, Scikit-learn, Haystack, Azure OpenAI, Microsoft Copilot Studio, AI Foundry, LangChain, Transformers
Skills:
Databricks, Big Data Technologies, Tensorflow, Jira, Agile Methodologies, Pytorch, Terraform, Azure DevOps, Scrum, Machine Learning, Python, Nlp, data visualization tools, machine learning services, scikit-learn, Azure cloud platforms, open-source tools for data processing, Meta, Spark MLlib, cloud-based analytics, Apache MXnet, Kanban, HuggingFace, Generative AI, Document Intelligence, nemo, non-relational datastores
