Sr. Python Gen AI Developer

2 weeks ago


Navi Mumbai, Maharashtra, India Arcitech Full time ₹ 40,00,000 - ₹ 96,00,000 per year

We're Hiring: Sr. Python Gen AI Developer – (3+ years Mandatory)

Role: Python Developer – AI/ML

Experience:
3 - 5 years (3+ years Mandatory)

Location:
Turbhe, Navi Mumbai (On site)

CTC: 5 LPA - 12 LPA

Industry:
AI | ML | LLMs | RAG Systems | Cloud


We're Hiring: Sr. Python Gen AI Developer – 3 to 5 Years Experience (3+ years Mandatory)

Are you passionate about building cutting-edge AI products? Do you enjoy experimenting with LLMs, building scalable RAG systems, and deploying real-world ML solutions?

Apply directly through our AI interview: Job Link

What You'll Work On

You will join our AI/ML engineering team and contribute to building production-grade LLM solutions. Your responsibilities include:

  • Developing & optimizing ML models using
    PyTorch / TensorFlow / Keras
  • Building
    end-to-end LLM + RAG pipelines
    using
    LangChain / LangGraph
  • Working with
    OpenAI, Anthropic Claude, Azure APIs
  • Fine-tuning models using
    Hugging Face Transformers
  • Implementing semantic search with
    embedding models + pgvector
  • Working on
    transformer-based architectures
    (BERT, GPT, LLaMA, Mistral)
  • Implementing evaluation & monitoring:
    RAGAS, LangSmith
  • Developing
    FastAPI
    microservices (REST/GraphQL + WebSockets)
  • Integrating vector DBs:
    pgvector, Pinecone, Weaviate, FAISS, Milvus
  • Deploying using
    Docker + Kubernetes (EKS/GKE/AKS)
  • Utilizing AWS services:
    EC2, S3, RDS, SageMaker, Lambda, CloudWatch
  • Managing ML experiments:
    MLflow / Weights & Biases / Neptune
  • Ensuring secure, robust LLM deployments
  • Contributing to code reviews, AI knowledge sessions & Agile rituals

What We're Looking For

  • 2–5 years Python experience
  • Hands-on with
    LangChain / LangGraph
  • Strong ML/DL background
  • FastAPI expertise
  • Experience with pgvector & vector databases
  • Comfortable with cloud (AWS preferred), CI/CD, & Git workflows
  • Understanding of LLM security & prompt safety

Bonus Skills (Good to Have)

  • LoRA, QLoRA, PEFT fine-tuning
  • Distributed training, model compression
  • Airflow, Prefect, Dagster
  • Terraform / CloudFormation
  • Streamlit or Gradio
  • Open-source contributions


Why Join Us?

  • Work on real-world LLM applications
  • Exposure to advanced AI infra & MLOps
  • Opportunity to innovate, experiment, and deploy at scale
  • Collaborative team with strong learning culture

Apply directly through our AI interview: Job Link



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