Generative AI Engineer

Job Description : Generative AI Engineer

Location : Remote / Bangalore

Employment Type : Full-time

Department : AI & Research

Industry : IT Services & Consulting

Role Category : AI / ML – Generative AI

Role & Responsibilities : As a

Generative AI Engineer , you will be responsible for designing, developing, and deploying generative AI models, large language model (LLM) applications, and agentic flows. Your core responsibilities will include :

Build Production RAG / Agentic Flows : Develop and implement advanced

retrieval-augmented generation (RAG)

flows, including tasks like chunking / embeddings, retrieval, tool / function calling, and caching for scalable AI solutions.

Evaluation Harnesses : Implement evaluation frameworks to assess model quality based on key metrics such as groundedness, relevance, and completeness. Perform regression checks to ensure the stability of models over time.

Guardrails & Content Safety : Integrate content safety measures, guardrails, and proactive monitoring systems to ensure responsible AI usage. You will be responsible for documenting

prompts / configs

and optimizing for cost and latency considerations.

API / SDK Development : Develop and ship high-performance

APIs / SDKs

used by both web and mobile teams, ensuring seamless integration of AI-driven features.

Cross-functional Collaboration : Collaborate with different teams to ensure that the AI solutions meet the needs of the business while maintaining high quality and compliance standards.

Desired Candidate Profile :

Experience : 1–2 years of experience in

backend / application development

with a focus on AI / ML systems, especially in

Generative AI ,

LLMs , and

AI-powered applications .

Technical Skills :

Proficiency in backend programming languages like

Python

or

TypeScript .

Practical experience working with

Generative AI models , especially around model deployment, prompt engineering, and scaling solutions.

Familiarity with

Vector Databases

(e.g., Pinecone, Weaviate) for managing embeddings and data retrieval.

Experience with tools like

LangChain

or

LlamaIndex

for building AI-powered systems.

Understanding of

caching strategies

to optimize system performance.

Knowledge of

observability

principles and tracing techniques to monitor AI model performance in production environments.

Education :

B.E / B.Tech / M.E / M.Tech / MCA or equivalent in Computer Science, AI, Data Science, or a related field.

Key Skills : Generative AI

RAG (Retrieval-Augmented Generation)

LLMs (Large Language Models)

Embeddings

Vector Databases

(e.g., Pinecone, Faiss)

Prompting Techniques

LangChain / LlamaIndex

FastAPI

Node.js / TypeScript

Caching

Observability

Model Deployment

Content Safety

Monitoring & Analytics

Backend Development (Python / TypeScript)

Notice Period :

Immediate to 30 days preferred .

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