AI Engineer

Shashwath Solution; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Shashwath Solution in Pune, India, seeks a hands-on AI Engineer with 3+ years of experience in Generative AI and LLMs to build and deploy production-grade solutions.

You will work on transformer architectures, fine-tuning, prompt engineering, RAG pipelines, and API integrations, scaling deployments while collaborating with data scientists and MLOps teams to deliver robust AI features.

Qualifications

• 3+ years hands-on experience with Generative AI and NLP
• Proficient in Python and ML libraries (Transformers, PyTorch, TensorFlow)
• Experience fine-tuning LLMs and embeddings; vector databases (FAISS, Pinecone, Weaviate)
• Experience deploying models on AWS/Azure/GCP; ML pipelines or MLOps
• Strong understanding of DL/NLP architectures, tokenization, evaluation metrics
• API development and integration of LLMs into user-facing apps

Responsibilities

• Design, develop, and deploy LLM-based solutions for NLP and content generation
• Fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
• Integrate LLMs into enterprise apps via APIs and orchestrate workflows with Python/LangChain
• Optimize model performance, latency, and cost for production use
• Collaborate with data scientists, MLOps engineers, and product managers
• Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers
• Ensure ethical, secure, and responsible use of AI technologies

Skills

Generative AI

LLMs

NLP

Python

API development

Prompt engineering

RAG pipelines

Education

Masters or PhD in CS/AI/ML

Tools

Transformers (Hugging Face)

LangChain

PyTorch

TensorFlow

FAISS

Pinecone

Weaviate

AWS

Azure

GCP

Job description

Job Summary

We are seeking a highly skilled and hands‑on AI Engineer with 3+ years of proven experience in building and deploying solutions using Generative AI and Large Language Models (LLMs). You will work on cutting‑edge applications leveraging transformer‑based architectures, fine‑tuning, prompt engineering, and scalable AI deployments. This role is ideal for engineers passionate about AI research and real‑world productization of generative AI technologies.

Key Responsibilities

• Design, develop, and deploy solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude, PaLM, etc.) for various NLP and content generation tasks.
• Work on fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) pipelines.
• Integrate LLMs into enterprise applications with APIs and orchestrate workflows using Python, LangChain, or similar frameworks.
• Optimize model performance, latency, and cost for production use.
• Collaborate with data scientists, MLOps engineers, and product managers to deliver scalable AI features.
• Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers.
• Ensure ethical, secure, and responsible use of AI technologies in all implementations.

Required Skills & Experience

• 3+ years of hands‑on experience working with Generative AI, LLMs, and NLP technologies.
• Strong programming skills in Python and experience with libraries like Transformers (Hugging Face), LangChain, PyTorch, TensorFlow, etc.
• Proven track record of fine-tuning LLMs, developing embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate).
• Experience deploying models on cloud platforms (AWS, Azure, GCP) and using ML pipelines or MLOps tools.
• Solid understanding of deep learning, NLP architectures, tokenization, and evaluation metrics for generative models.
• Experience in API development and integration of LLMs into user-facing applications.

Preferred Qualifications

• Masters or PhD in Computer Science, AI/ML, Data Science, or related field.
• Experience with OpenAI APIs, Anthropic, Cohere, or open-source LLMs (e.g., Mistral, Falcon, LLaMA 3).
• Understanding of RLHF (Reinforcement Learning from Human Feedback) and model alignment techniques.
• Contributions to open-source AI projects or publications in GenAI/LLM.