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Job Type

Contractual

Job Description

Company Description


Wama Technology Pvt Ltd is a global IT solutions and services company specializing in accelerating businesses to the next level with tailored IT solutions. As a trusted partner, Wama Technology provides end-to-end services spanning mobile app development, offshore application development, application migration, re-engineering, and enterprise solutions. With a strong emphasis on quality, Wama Technology ensures client success by delivering cost-effective and timely solutions. The company has built a solid reputation, with over 80% of its work coming from repeat clients and referrals.


Role Description


MCP Agentic AI Developer


Key Skills & Tech Stack

  • Programming Languages:

    Strong expertise in

    Python

    , with working knowledge of

    Node.js

    or

    TypeScript

    .
  • AI Frameworks:

    Hands-on experience with

    LangChain

    ,

    Semantic Kernel

    ,

    LlamaIndex

    , or

    DSPy

    for agentic workflows.
  • Model APIs:

    Proficiency in using

    OpenAI (GPT-4/5)

    ,

    Azure OpenAI

    ,

    Anthropic Claude

    , or

    Google Gemini

    .
  • Agentic Systems:

    Practical understanding of

    Microsoft Copilot Platform (MCP)

    ,

    CrewAI

    ,

    Autogen

    , or

    Swarm

    for multi-agent orchestration.
  • Vector Databases:

    Experience with

    Pinecone

    ,

    Weaviate

    ,

    FAISS

    , or

    Qdrant

    for knowledge retrieval (RAG).
  • Cloud Platforms:

    Familiarity with

    Azure AI

    ,

    AWS Bedrock

    , or

    local inference

    setups like

    Ollama

    or

    vLLM

    .
  • API & Backend Tools:

    Skilled in

    FastAPI

    ,

    Flask

    , and

    Postman

    for API design and testing.
  • DevOps & CI/CD:

    Knowledge of

    Docker

    and

    GitHub Actions

    for deployment automation.
  • Version Control:

    Proficient with

    Git

    and collaborative development workflows.
  • Optional Tools:

    Exposure to

    Streamlit

    or

    Gradio

    for rapid prototyping of AI interfaces.


Qualifications


AI reasoning and tool-calling frameworks

API design and integration

prompt engineering

RAG pipelines

LLM safety, observability, and monitoring tools

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