Gen AI Engineer

Position :

Gen AI Engineer / Jr. Consultant

Location : Remote

Type :

Full-time / Onsite (or specify if hybrid / remote)

Job Summary : We are seeking a

Gen AI Engineer / Junior Consultant

with hands-on experience in building, deploying, and optimizing Generative AI solutions. The ideal candidate will possess strong expertise in

LLMs, RAG frameworks, LangChain, and Vector Databases , along with proficiency in

cloud platforms (AWS, GCP, or Azure) . You will be responsible for developing AI-driven applications, integrating APIs, and enabling intelligent automation using advanced prompt engineering and agentic AI capabilities.

Key Responsibilities :

Design, develop, and deploy

Generative AI

applications leveraging

Large Language Models (LLMs)

and

Retrieval-Augmented Generation (RAG)

frameworks.

Implement

LangChain

pipelines and integrate

Vector Databases

(e.g., FAISS, Pinecone, Chroma, or Milvus) for efficient context retrieval.

Build, test, and optimize AI agents using

Agentic AI

frameworks.

Work with

cloud environments

(AWS / GCP / Azure) to host and scale AI services.

Develop APIs and backend systems using

Python

and

SQL

for data management and interaction with AI services.

Apply

prompt engineering

techniques to enhance model output accuracy and consistency.

Collaborate with cross-functional teams to design end-to-end AI solutions for real-world business problems.

Stay current with emerging trends in Generative AI and contribute to PoCs and AI model evaluations.

Required Skills & Experience :

Strong understanding of

Generative AI ,

LLMs , and

RAG architecture .

Hands-on experience with

LangChain

and

Vector Databases

(e.g., FAISS, Pinecone, Chroma).

Proficiency in

Python ,

SQL , and developing

RESTful APIs .

Practical experience with at least one

cloud platform

(AWS / GCP / Azure).

Knowledge of

Prompt Engineering

and

Agentic AI frameworks .

Familiarity with data preprocessing, model evaluation, and deployment pipelines.

Excellent problem-solving skills and the ability to work in a fast-paced environment.

Preferred Qualifications :

Bachelor’s or Master’s degree in Computer Science, Data Science, AI / ML, or a related field.

Experience in developing PoCs or production-grade AI applications.

Familiarity with

OpenAI, Anthropic, Google Vertex AI, or Azure OpenAI APIs .