Gen AI Developer

Tekskills Inc.; Chennai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tekskills Inc. in Chennai is seeking a Jr. Gen AI Developer (MLE Associate) with hands-on experience in building GenAI applications and agentic workflows. You will work on RAG, prompt engineering, and optimization techniques, and collaborate across coding, testing, and cloud deployment in a fast-paced setting.

The role emphasizes practical knowledge of FastAPI, LangChain, and various LLM APIs, with a focus on scalable retrieval strategies and memory management in AI/ML workflows.

Qualifications

• Strong understanding of RAG (Retrieval-Augmented Generation) with real‑time implementation
• Prompt engineering including prompt injection risks mitigation techniques
• Optimization techniques
• Caching
• Chunking for large/multimodal data
• Metadata filtering
• Knowledge of memory management in AI/ML workflows
• Hands-on experience with SQL (must explain SQL engine used)
• Hands-on experience with Amazon Textract (must explain API type used)

Responsibilities

• Develop and maintain GenAI applications and agentic workflows
• Build and integrate FastAPI-based services
• Work with LLM APIs (OpenAI, Azure OpenAI, Anthropic)
• Implement RAG pipelines with efficient retrieval strategies
• Optimize performance using caching, chunking, and metadata filtering
• Collaborate in coding, testing, and cloud deployments

Skills

RAG real-time implementation

Prompt engineering

Optimization techniques

Caching

Chunking large/multimodal data

Metadata filtering

SQL

Amazon Textract

Tools

FastAPI

LangChain

LLM APIs OpenAI/Azure/Anthropic

SQL

AWS Textract

Databricks

Job description

Job Summary

We are hiring a Jr. Gen AI Developer (MLE Associate) with hands‑on experience in building GenAI applications and agentic workflows. The candidate should have strong conceptual clarity and practical exposure to RAG, prompt engineering, and optimization techniques.

Key Responsibilities

• Develop and maintain GenAI applications and agentic workflows
• Build and integrate FastAPI-based services
• Work with LLM APIs (OpenAI, Azure OpenAI, Anthropic)
• Implement RAG pipelines with efficient retrieval strategies
• Optimize performance using caching, chunking, and metadata filtering
• Collaborate in coding, testing, and cloud deployments

Experience

3+ Years

Must-Have Skills

• Strong understanding of RAG (Retrieval-Augmented Generation) with real‑time implementation
• Prompt Engineering , including Prompt injection risks Mitigation techniques
• Optimization techniques
• Caching
• Chunking for large/multimodal data
• Metadata filteringKnowledge of memory management in AI/ML workflows
• Hands‑on experience with SQL (must explain SQL engine used)
• Hands‑on experience with Amazon Textract (must explain API type used)

Technical Skills

• FastAPI
• LangChain
• LLM APIs (OpenAI / Azure / Anthropic)
• SQL
• AWS (Textract)
• Databricks (Good to have).