AI Developer | Onsite, Noida | Open to India-based candidates only

On-site
- NOIDA, Uttar Pradesh, India

Build and deploy real-world AI systems using ML, LLMs, and MLOps. Full-time, onsite role in Noida for hands-on AI developers ready to take models from idea to production.

Job description

AI Developer | Onsite, Noida | Open to India-based candidates only

Position type: Full-time employee

Location: Onsite - Noida, India

Why this role exists
We are building AI solutions that solve real business problems, not demos or experiments that live on a slide. As an AI Developer on our team, you will design, build, deploy, and continuously improve production-ready AI and machine learning systems used by real users. This role is for someone who enjoys hands-on development, cares about quality and scalability, and wants to see their work move from idea to impact.

This is a full-time, onsite role based in our Noida office. You will work closely with engineers, data scientists, and product partners in a collaborative, fast-moving environment.

What you will do

Build and deliver AI solutions

Design, develop, and validate machine learning and deep learning models to address domain-specific business challenges
Work across a range of approaches including classical ML, NLP, computer vision, reinforcement learning, and transformer-based models
Apply Generative AI techniques, including working with large language models and retrieval-based systems, where appropriate

Data engineering and preparation

Collaborate with data scientists and engineers to source, clean, and preprocess large datasets
Perform feature engineering and data selection to improve model inputs and outcomes

Production deployment and MLOps

Deploy models into production environments that support real-time or near real-time use cases
Build and maintain MLOps pipelines for deployment, monitoring, versioning, and retraining
Use Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP
Integrate models into applications through APIs or model-serving frameworks

Performance, quality, and improvement

Optimize models for performance, latency, scalability, and resource efficiency
Implement testing strategies including unit testing, regression testing, and A/B testing
Monitor model performance and improve solutions based on data, feedback, and usage patterns

Collaboration and communication

Work closely with cross-functional teams including engineering, product, and subject matter experts
Document model architectures, training processes, and experimental results
Communicate technical concepts clearly to both technical and non-technical stakeholders

Ethical and responsible AI

Contribute to ethical AI practices with attention to fairness, transparency, and accountability
Help identify and mitigate risks such as bias, hallucinations, or incorrect outputs

Job requirements

What we’re looking for

Required

Minimum 2 years of hands-on experience in AI or machine learning development
Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn
Solid understanding of ML and DL architectures including CNNs, RNNs or LSTMs, and Transformers
Experience with data manipulation and analysis using Pandas, NumPy, and SciPy
Familiarity with software engineering best practices including Git, testing, and code optimization
Experience deploying models to cloud platforms or on-premise environments
Ability to work full-time from our Noida office

Preferred

Hands-on experience with large language models such as GPT, Claude, Mistral, or LLaMA
Experience with prompt engineering, Retrieval-Augmented Generation (RAG), or vector-based search
Familiarity with tools such as LangChain, LlamaIndex, Hugging Face, Pinecone, FAISS, or Weaviate
Experience with MLOps tools like MLflow, Kubeflow, or DVC
Exposure to applying AI in domains such as healthcare, finance, retail, manufacturing, or customer service
Strong grounding in statistics and optimization

Why join us

Work on real, production-grade AI systems with measurable business impact
Collaborate with experienced engineers and AI practitioners in a supportive, hands-on environment
Build breadth across models, tools, and deployment approaches while deepening your expertise
Be part of a team that values responsible, ethical AI and high-quality engineering

Ready to apply?
If you are excited to build AI systems that move beyond experimentation and into real-world use, we would love to hear from you. Apply now and tell us about the AI solutions you have built and want to build next.

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Questions

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A quick note before you begin:

We appreciate your interest in this role and value your time. While some of the information we’re asking for may appear on your resume, your responses to these questions help us quickly understand the unique value you bring to this position.

Please treat these questions as your initial interview — a chance to share real examples, insights, and the impact of your work. Thoughtful, detailed answers help us move qualified candidates like you forward faster and ensure we have a clear picture of your fit for the role.

Thank you for taking the time to complete this important step in our hiring process — we look forward to learning more about you.

This is a full-time, on-site role based in our Noida office. Remote or hybrid work is not available. Are you currently located in Noida or willing and able to work from our Noida office full time?

Yes

Where are you currently located?

What motivated you to apply for this position, and how does it fit with your career goals?

Describe a Generative AI use case you’ve worked on that involved Retrieval-Augmented Generation (RAG), embeddings, or vector search. What problem were you solving, which tools or frameworks did you use, and how was the solution used in production or by end users?

Which large language models have you worked with directly (for example GPT-4, Claude, LLaMA, BERT, or others)? Briefly explain how you used each model and whether you fine-tuned it, prompt-engineered it, or integrated it via an API.

List the primary tools, libraries, and platforms you have used in your AI development work. Please indicate which tools you have used in production environments versus experimentation or prototyping.

Do you have experience working with vector databases or similarity search systems (such as Pinecone, FAISS, or Weaviate)? If yes, describe how you handled vectorization, indexing, retrieval, and integration with downstream AI or application layers.

Describe a machine learning or AI model you have deployed into a production environment. Where was it deployed (cloud or on-premise), how was it monitored, and what tools or processes did you use for deployment, versioning, and retraining?

Provide an example of how you optimized an AI or machine learning model for performance, latency, or scalability. What constraints were you working within and what tradeoffs did you make?

Explain your role in data preparation for an AI project. What types of data were involved, how did you handle preprocessing or feature engineering, and how did those decisions impact model performance?

How do you evaluate and ensure the quality or accuracy of AI model outputs, particularly for Generative AI systems? Please include any testing approaches, evaluation metrics, human review processes, or monitoring practices you have used.

Describe a situation where you had to address ethical risks in an AI system, such as bias, hallucinations, or incorrect outputs. How did you or your team identify, mitigate, and communicate those risks?

What is your current CTC (in INR)?

What is your expected CTC (in INR) for this role?

What is your current notice period?

Is this notice period negotiable?

Yes

Please feel free to share a 2-minute video to introduce yourself and why you are interested in and qualified for this role.

AI Developer | Onsite, Noida | Open to India-based candidates only

Job description

AI Developer | Onsite, Noida | Open to India-based candidates only

Job requirements

All done!