Gen AI Engineer

Tekskills; Chennai District; On-site; INR 300,000 - 600,000; Full time

Job summary

Tekskills is seeking a GenAI Engineer (Senior/Lead) in India to lead AI-powered application development. The role emphasizes Python-based AI work, LLM orchestration, and enterprise cloud integration across AWS/Azure. You will optimize model performance and deploy services at scale in Scrum teams.

The ideal candidate has 8+ years of overall experience, 4+ years in AI/ML and GenAI API integration, with strong emphasis on security and scalable architectures.

Qualifications

• 8+ years of overall experience with 4+ years in AI/ML, LLM integrations and enterprise cloud solutions.
• GenAI API orchestration, prompt engineering, and embedding retrieval experience.
• Knowledge of scalable AI architectures and security best practices.

Responsibilities

• Build and maintain Python-based AI services using LangChain and CrewAI.
• Integrate OpenAI, Bard, Claude, and Azure OpenAI APIs; optimize calls and reduce hallucinations.
• Deploy AI apps on AWS/Azure with Kubernetes/Docker and CI/CD pipelines.
• Design scalable RESTful APIs with secure auth (OAuth2/JWT) and rate limiting.
• Leverage FAISS/Pinecone for embedding-based retrieval in RAG workflows.

Skills

Python

LLM orchestration

Prompt engineering

API integration

Agile/Scrum

Tools

LangChain

CrewAI

OpenAI API

FAISS

Pinecone

AWS

Azure

Kubernetes

Docker

Job description

Job Title: GenAI Engineer (Senior/Lead)

Industry: AI/ML, Enterprise Applications, Healthcare (if applicable)

Overall Experience: 8 to 10 Years

Immediate joiners

Chennai is preferred( Anywhere in India )

Role Summary:

Person with good Python coding and Generative AI solutions

We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.

Key Responsibilities:

• AI Application Development: Build and maintain Python-based AI services using Lang Chain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows.
• LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone).
• Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications.
• API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting.
• Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement Lang Chain for AI workflow automation.
• Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases.

Tech Stack & Tools:

• AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone
• LLMs & APIs: OpenAI, LangChain, CrewAI
• Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD
• Security & Compliance: OAuth2, JWT, HIPAA

Preferred Qualifications:

• 8+ years of overall experience with a minimum of 4 years in AI/ML, LLM integrations, and enterprise cloud solutions.
• Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval.
• Strong knowledge of scalable AI architectures and security best practices.