We are seeking a talented AI Engineer with hands-on experience in Large Language Models (LLMs) , LangChain , LangGraph , and Generative AI workflows for image and content generation . You will play a pivotal role in architecting and integrating AI-driven features into innovative applications, collaborating with product and design teams to deliver next-gen user experiences.

Requirements

Develop, fine-tune, and deploy LLM-based solutions for conversational AI, smart content generation, and personalization.

Design and implement workflows using LangChain , LangGraph , and Vector Databases (e.g., Pinecone, Weaviate, FAISS).

Collaborate with front-end/mobile teams to ensure smooth AI feature integration.

Optimize AI inference for scalability and cost-efficiency (including edge deployment strategies).

Develop modular and scalable API layers for AI model interaction (RESTful & GraphQL APIs).

Research and prototype new AI capabilities, keeping up with trends in LLMs , Multi modal AI , and AI on mobile platforms .

Must-Have Skills:

3+ years of experience in AI/ML development with a focus on LLM applications .

Proficiency in LangChain , LangGraph , and knowledge of RAG (Retrieval Augmented Generation) pipelines.

Experience with Prompt Engineering , chain-of-thought prompting, and API orchestration.

Hands-on experience with Generative AI models for image generation (Stable Diffusion, DALL E, MidJourney, or similar).

Strong Python programming skills with experience in API integrations.

Familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI services.

Knowledge of AI/ML Ops practices including model serving, monitoring, and optimization.

Benefits

5 Day working

On time salary

inter- tech work

Skill upgradation trainings

Soft skills trainings

Rewards and recognitions

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