Gen AI - Engineer

Job Description

Role Overview
We are looking for an Gen AI Engineer (3-5years) with good expertise in Python, AWS Cloud, Generative AI, and hands-on experience in RAG (Retrieval Augmented Generation), Agentic workflows, and building LLM-powered applications.
The ideal candidate will contribute to the design and development of scalable AI solutions, work closely with senior architects, and collaborate with cross-functional teams.

Key Responsibilities
1. Generative AI Development
a. Contribute in coding and implementation of GenAI-powered applications.
b. Translate functional requirements into efficient Python services.
c. Work with LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents).
d. Participate in PoCs and exploratory work for new GenAI capabilities.
2. Python & Cloud
a. Build and enhance RAG pipelines using embeddings, vector databases, and chunking strategies.
b. Implement basic Agentic workflows under guidance from senior team members. (wherever applicable)
c. Work with vector search systems (PGVector, FAISS, etc.).
d. Implement indexing, metadata tagging, and retrieval optimizations.
e. Exposure to MCP / tool-integration frameworks is an added advantage.
3. Softskills
a. Participate in code reviews, design discussions, and documentation.
b. Follow best practices in coding standards, testing and DevOps
c. Collaborate with team.
Required Skills
. hands-on proficiency in Python (Flask, REST, async programming).
. Practical experience with Generative AI and LLM-based applications. (6 to 12 months)
. Good understanding of RAG system, embeddings, vector databases.
. Usage of Bedrock models through AWS
. Exposure to Agentic frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents).
. Familiarity with AWS/Azure/GCP Cloud (ECS, S3, API Gateway, IAM, Bedrock).
. Experience with API development, microservices, containerization, CDK etc.
. Handson Knowledge Docker, GitHub Actions and policies.

Mandatory Competencies