Time since we first saw it
Day 32
Similar jobs usually come down between day 4 and day 77.
At EXL Service, jobs usually come down by about day 21.
From 51 similar postings that came down, and 281 of EXL Service’s. Coming down is not always a hire.
Data Science GenAI Engineer
Gurugram, Haryana, India
Live, first seen by us 32 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign, develop, and deploy generative AI applications using LLMs
Build and optimize prompt engineering, RAG, and fine-tuning pipelines
Integrate GenAI models into production systems via APIs, microservices, and cloud
Evaluate model performance, reduce hallucinations, and improve accuracy and latency
Implement monitoring, logging, and feedback loops for model improvement
From the employer’s posting
Design, develop, and deploy Generative AI applications using LLMs
Build and optimize prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning pipelines.
Integrate GenAI models into production systems using APIs, microservices, and cloud platforms.
Evaluate model performance, mitigate hallucinations, and improve accuracy, safety, and latency.
Implement monitoring, logging, and feedback loops for continuous model improvement.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 202632 days ago
- Recorded sightings
- 141
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EXL Service is hiring
211 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 5% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Python
- TypeScript
- AWS
- Azure
- GCP
- FastAPI
Where the posting names them
- 2+ years of hands-on experience in Generative AI, LLMs, or applied NLP. - Strong programming skills in Python (required); experience with JavaScript/TypeScript is a plus. - Practical experience with:
- Vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) - Experience deploying ML/AI solutions in cloud environments (AWS, Azure, or GCP). - Solid understanding of data structures, APIs, and system design.
- Ensure compliance with security, privacy, and responsible AI guidelines. - Experience in RAG based applications using LangGraph and FastAPI. - Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).
Your next step
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About EXL Service
- People
- About 65,000 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as EXLS.
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
- 4–6 years of overall software engineering or ML experience.
- 2+ years of hands-on experience in Generative AI, LLMs, or applied NLP.
- Strong programming skills in Python (required); experience with JavaScript/TypeScript is a plus.
- Practical experience with:
- LLM APIs and frameworks (e.g., OpenAI-compatible APIs, LangChain, LlamaIndex)
- Prompt engineering and RAG architectures
- Vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma)
- Experience deploying ML/AI solutions in cloud environments (AWS, Azure, or GCP).
- Solid understanding of data structures, APIs, and system design.
- Ability to write clean, maintainable, and testable code.
- Design, develop, and deploy Generative AI applications using LLMs (e.g., GPT-based, open-source models).
- Build and optimize prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning pipelines.
- Integrate GenAI models into production systems using APIs, microservices, and cloud platforms.
- Collaborate with product managers, data scientists, and backend engineers to translate business needs into AI-driven solutions.
- Evaluate model performance, mitigate hallucinations, and improve accuracy, safety, and latency.
- Implement monitoring, logging, and feedback loops for continuous model improvement.
- Stay current with emerging GenAI frameworks, tools, and best practices.
- Ensure compliance with security, privacy, and responsible AI guidelines.
- Experience in RAG based applications using LangGraph and FastAPI.
- Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).
- Knowledge of NLP concepts such as embeddings, transformers, and tokenization.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.