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Artificial Intelligence Engineer/Developer/Analyst

Tech Mahindra

0 - 3 years

Bengaluru

Posted: 05/02/2026

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Job Description

Role - AI Engineer


Location - Pune/Mumbai/Noida/Bangalore/Hyderabad/Chennai


Exp required - 5+ Yrs only


Joining Time Required - Immediate to 45 Days only


JD:


Senior AI Developer


  • Proficient in Python programming and machine learning frameworks.
  • Strong experience in developing and deploying machine learning models.
  • Hands-on experience with OpenAI technologies and applications.
  • Proficient in Fast API for building and deploying REST APIs.
  • Familiarity with Azure Stack and cloud services for AI solutions.
  • Experience with Autogen and MCP for automation and model management.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills and the ability to work collaboratively in a team environment.
  • Proactive attitude with the ability to lead small teams independently.
  • Experience with CI/CD pipelines to deploy Fast API applications.


AI Engineer


  • Proficient in Agentic AI, GenAI, and LLM technologies, with experience in NLP tools such as Word2Vec, NLTK, SpaCy, BERT, GloVe, Autogen, Semantic Kernel, Lang chain, and Langraph.
  • Hands on development experience with development of AI agents.
  • Familiarity with either of cloud platforms like Azure, AWS or Google Cloud
  • Strong programming skills in Python, with experience in frameworks such as Flask for lightweight applications and FastAPI for API development.
  • Proficient in using Docker for container deployment and deploying ML models on Kubernetes clusters.
  • Experience with NoSQL, SQL, and vector databases.
  • Strong understanding of statistical methods and experimental design.
  • Familiarity with MLOps practices for continuous integration and continuous deployment (CI/CD) in machine learning.


AI Prompt Engineer


  • Experience: 5+ years of experience in AI, machine learning, or software engineering roles, including substantial work with NLP or large language models
  • NLP & AI Expertise: Strong understanding of natural language processing concepts, generative AI, and prompt engineering techniques. Familiarity with how large language models (e.g. GPT-4, GPT-5 etc.) function, their limitations, and how to steer them with well-crafted prompts.
  • OpenAI & Azure Proficiency: Hands-on experience with OpenAI GPT models and Microsoft Azure AI services
  • Adaptability: Enthusiasm for continuous learning in a rapidly evolving field. The ideal candidate stays updated with the cutting edge of AI research and can adapt prompt engineering practices as new models and techniques emerge.
  • Good to have: Experience with retrieval-augmented generation (RAG) techniques. Prior work in a fintech or financial services environment, and familiarity with handling sensitive data.

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