JOB REQUIREMENTS :

- Bachelor's degree in Computer Science Engineering (CSE), Artificial Intelligence (AI), Data Science (DS), Information Technology , or a related field.
- Strong programming skills in Python .
- Good understanding of Machine Learning and Deep Learning concepts.
- Experience with Large Language Models (LLMs) and Generative AI.
- Familiarity with frameworks such as LangChain, LlamaIndex, Hugging Face, or similar .
- Experience with Retrieval-Augmented Generation (RAG) architectures.
- Knowledge of vector databases such as ChromaDB, FAISS, Pinecone, Weaviate, or Milvus .
- Experience developing REST APIs using Django, Django REST Framework, or Flask .
- Familiarity with relational databases such as PostgreSQL or MySQL .
- Basic understanding of cloud platforms such as AWS , Azure , or Google Cloud Platform .
- Knowledge of Git , Docker, and CI/CD fundamentals.
- Strong analytical, debugging, and problem-solving skills.
- Excellent communication and collaboration skills.

KEY RESPONSIBILITIES ACTIVITIES : AI Development :

- Build and optimize LLM-based solutions using up-to-date AI frameworks.
- Develop and maintain Retrieval-Augmented Generation (RAG) pipelines.
- Evaluate, fine-tune, and optimize AI models for performance and accuracy.

Backend Development :

- Develop scalable REST APIs using Django/Flask.




- Design efficient database schemas and optimize queries.
- Implement secure, maintainable, and scalable backend solutions.

Collaboration & Innovation :

- Work closely with product managers, designers, and software engineers to deliver AI solutions.
- Participate in code reviews and technical discussions.
- Research emerging AI technologies and recommend improvements.
- Contribute to documentation and knowledge-sharing within the team.

Preferred Skills :

- Experience with OpenAI, Anthropic Claude, Gemini, or other LLM APIs.
- Knowledge of prompt engineering and AI evaluation techniques.
- Understanding of embeddings, semantic search, and vector databases.
- Experience with Redis, Celery, WebSockets, or Kafka is a plus.
- Familiarity with Docker, Kubernetes, and cloud deployment.
- Exposure to AI monitoring, model evaluation, and observability

BENEFITS :

- Competitive salary and performance-based incentives.
- Five-day work week (Saturday and Sunday off).
- Opportunity to work on cutting-edge AI and Generative AI technologies.
- Learning and growth opportunities with real-world AI projects.
- Collaborative and supportive work environment.
- Career development and mentorship from experienced AI engineers.

📌 Ai Engineer (Jaipur)
🏢 LMD Consulting
📍 Jaipur