Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: AI Application Engineer.
India Jobs Expertini

Urgent! AI Application Engineer Job Opening In Manimajra – Now Hiring Trantor

AI Application Engineer



Job description

Job Responsibilities

  • Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
  • Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.

    Design scalable microservices and APIs for AI features.
  • Collaborate with MLOps teams to deploy and monitor AI models in production.

    Ensure performance optimization, cost efficiency, and security in LLM workflows.
  • Guide the team on Python best practices, code reviews, and technical problem-solving.

    Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.


Mandatory Skills

  • Strong proficiency in Python (FastAPI, Flask).

    Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).

    Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).

    Experience with prompt engineering & evaluation techniques.

    Knowledge of MLOps tools (MLflow),
  • Kubeflow, Langfuse) and deployment on AWS/GCP/Azure.

    Familiarity with containerization and orchestration (Docker, Kubernetes).

    Strong grasp of REST APIs, GraphQL, and microservices architecture.

    Knowledge of model fine-tuning and performance optimization.
  • Familiarity with containerization and orchestration (Docker, Kubernetes).

    Strong grasp of REST APIs, GraphQL, and microservices architecture.

    Knowledge of model fine-tuning and performance optimization.


Optional Skills

  • Excellent leadership and mentoring abilities.

    Strong problem-solving and analytical skills.

  • Effective communication with technical and non-technical stakeholders.
  • Ability to work in a fast-paced, evolving AI environment.

  • Experience with agentic AI or Model Context Protocol (MCP).

  • Background in data pipelines (ETL, streaming data).

  • Exposure to AI security & compliance practices.

    Prior to work in scalable enterprise AI products.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your AI Application Potential: Insight & Career Growth Guide