AI Engineer

7 days ago


Hyderabad, Telangana, India MAF Group Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title: AI Engineer

Location:
Remote/Hybrid

Department:
Technology & Innovation

Experience Level:
Mid-Senior (4–6 years)

Employment Type:
Full-Time

About MAF Group

At MAF Group, we empower enterprises to harness the transformative power of
AI, Data, and Cloud technologies
. We help organizations innovate, optimize, and scale with cutting-edge solutions tailored to their business needs. As we expand our
AI/GenAI practice
, we are seeking passionate professionals who can shape the future of intelligent systems and automation.

About the Role

We are hiring an
AI Engineer
who will play a critical role in designing, developing, and deploying advanced AI solutions. This role involves building
Generative AI applications, integrating AI with enterprise systems, and creating scalable, production-ready pipelines
that address real-world business challenges across industries.

Key Responsibilities

  • Design, develop, and optimize AI/ML models for diverse enterprise use cases.
  • Build and deploy
    GenAI applications
    leveraging LLMs, RAG frameworks, and agentic workflows.
  • Implement embeddings, vector databases, and prompt engineering to improve intelligent search and retrieval.
  • Integrate AI solutions with APIs, microservices, and cloud platforms (
    AWS, Azure, GCP
    ).
  • Collaborate with data engineers and software developers to ensure scalable AI pipelines.
  • Conduct model evaluation, fine-tuning, and performance optimization.
  • Stay ahead of emerging trends in
    AI, ML, GenAI, and automation
    technologies.

Required Skills & Qualifications

  • Bachelor's/Master's in
    Computer Science, AI/ML, Data Science
    , or related field.
  • Proficiency in
    Python
    and frameworks such as
    PyTorch, TensorFlow, LangChain, LangGraph
    .
  • Strong hands-on experience with
    LLMs, embeddings, and RAG architecture
    .
  • Familiarity with
    cloud AI services
    (AWS Bedrock, Azure OpenAI, Google Vertex AI).
  • Experience with APIs, microservices, and
    RESTful integrations
    .
  • Knowledge of
    NLP, data preprocessing, and model fine-tuning
    .
  • Solid understanding of
    MLOps
    practices (CI/CD for ML, model monitoring, lifecycle).

Preferred Qualifications

  • Experience with
    agentic AI workflows
    and multi-agent systems.
  • Knowledge of
    vector databases
    (Pinecone, Weaviate, Milvus, FAISS).
  • Exposure to
    Docker, Kubernetes
    , and scalable deployment methods.
  • Prior experience delivering
    enterprise-grade AI solutions
    across industries.

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