Gen AI Engineer
- Posted 3 months ago
- Be among the first 30 applicants
Job Description
We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building AI-powered applications using Python and modern LLM orchestration frameworks. The ideal candidate should have practical expertise in developing Agentic AI solutions, RAG pipelines, multi-agent workflows, and scalable backend services integrated with Large Language Models (LLMs).
The role requires deep technical knowledge of AI application architecture, prompt engineering, vector databases, and enterprise-grade AI solution development.
Key Responsibilities
- 4+ Years of Design and develop scalable GenAI applications using Python
- Build intelligent AI agents and multi-agent workflows using Agentic AI frameworks
- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
- Work with LLM orchestration frameworks such as LangChain and LlamaIndex
- Integrate LLMs with enterprise systems, APIs, databases, and external tools
- Implement prompt engineering, context management, memory handling, and agent workflows
- Develop REST APIs and backend services for AI applications
- Work with vector databases and embedding models
- Optimize AI application performance, scalability, observability, and cost
- Collaborate with cross-functional teams including product, data engineering, and DevOps
- Ensure security, governance, and responsible AI practices in application development
Mandatory Skills
- Strong programming expertise in Python
- Hands-on experience with Generative AI (GenAI) application development
- Strong experience with LangChain
- Hands-on experience with LlamaIndex
- Experience in building Agentic AI / AI Agents
- Strong understanding of LLMs, prompt engineering, and AI orchestration
- Experience in RAG architecture and vector databases
- Knowledge of REST APIs and microservices architecture
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with Docker and containerized deployments
- Strong debugging and problem-solving skills
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Key Skills
About Company
Skills:
Jenkins, Gcp, Azure, Python, AWS, Azure DevOps, LangChain, LLMs, cloud platforms, vector databases, Pinecone, REST API design, LangGraph, GitLab CI, GitHub Actions, RAG techniques, microservices architecture, CI CD tools, Generative AI libraries, Weaviate, dataset preparation
Skills:
Api, Python, LangGraph, Langchain, Agentic AI, LLMs
Skills:
knowledge graphs (neo4j preferred), Python, AWS Bedrock, prompt-library version-management, prompt engineering, vector stores, LLM GenAI applications, multi-agent systems, Caching, prompt compression, LLM guardrails, model routing
Skills:
Restful Apis, Databricks, Microservices, Automated Testing, Django, React, Angular, FastAPI, Cybersecurity, Python, Data Privacy, Flask, Microsoft Azure, AI governance, Claude, Regulatory Compliance, fine-tuning, vector databases, Next.js, observability, AI model evaluation, OpenAI APIs, Anthropic APIs, ChatGPT
Skills:
Power Bi, Pyspark, SQL Server, Apache Spark, Kafka, Tableau, Redis, Python, objectstore, RDBMS technologies, Iceberg, Data Layer Lakehouse, Delta SQL