AI Engineer at Tata Teleservices · HyrikoBack to jobsvia Career pages·5d ago
AI Engineer
Tata Teleservices
Full-timeHybrid
Location:Navi Mumbai, Maharashtra, IndiaType:Full-timePosted:5d ago Job Description –Junior AI Engineer (AI CoE)
Position Details
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Title:AI Engineer
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Experience:2–4 years
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Location:Mumbai / Flexible
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Team:AI Centre of Excellence
Job Summary
We are looking for a smart, hands-on AI Engineerwith strong fundamentals and high learning agilityto build and deploy modern AI applications.
The role focuses on LLMs, Prompt Engineering, and real-world AI solutions, along with lightweight ML model development.
Key Responsibilities
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Build and deploy AI-powered applicationsusing LLMs (OpenAI, Azure OpenAI, etc.)
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Design and implement advanced prompt engineering techniques:
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Few-shot / zero-shot prompting
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Chain-of-thought prompting
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Prompt optimization & evaluation
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Develop RAG-based solutionsusing embeddings and vector databases
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Integrate AI models into APIs, products, and business workflows
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Build lightweight ML models such as:
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Recommendation systems
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Classification/regression models (Random Forest, XGBoost, etc.)
Perform basic model training, evaluation, and tuning
Work with tools like LangChain / LlamaIndex / Semantic Kernel /n8n
Optimize model performance, response quality, cost, and latency
Rapidly prototype and deliver POCs (2–4 weeks)
Collaborate with business and engineering teams to solve real problems
Continuously experiment with emerging AI tools and techniques
Required Skills
Strong Pythonskills (must-have)
Strong Prompt Engineering
Ability to design, test, and refine prompts for accuracy and reliability
Understanding of hallucination control and output structuring
Experience working with LLMs, embeddings, and RAG
Basic understanding of ML concepts:
Model training, validation, overfitting
Hands-on with at least one algorithm (Random Forest / regression etc.)
Experience with APIs / backend integration
Familiarity with:
Vector DBs (FAISS / Pinecone / Chroma)
Prompt testing and evaluation approaches
Knowledge of cloud platforms(Azure preferred)
Knowledge of cloud platforms(Azure preferred)
Strong problem-solving + fast learning mindset
Good to Have
Exposure to LangChain / LlamaIndex
Experience building chatbots / copilots / AI assistants
Basic understanding of MLOps / deployment pipelines
Familiarity with Docker / API deployment
What We Are Looking For
Fast learner > years of experience
Strong logical thinking & curiosity
Ownership-driven and proactive
Ability to translate ambiguous business problems into AI solutions
High-quality prompt design leading to accurate AI outputs
POCs delivered within 2–4 weeks
Working AI applications in production
Optimized LLM cost vs performance
Ability to independently learn and apply new AI techniques
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