Data Scientist / AI Engineer (Python, ML, RAG)

Data Scientist / AI Engineer (Python, ML, RAG)

Data Scientist / AI Engineer (Python, ML, RAG) at Staffnixcom · Pune · 3 - 5 years · ₹17L - ₹21L / yr · Bootstrapped · Posted 2 Jun 2026

Data Scientist / AI Engineer (Python, ML, RAG)

at Staffnixcom

Posted by Mayank Choudhary

3 - 5 yrs

₹17L - ₹21L / yr

Pune

Skills

Data Science

Artificial Intelligence (AI)

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

Read more

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About Staffnixcom

Founded :

2024

Type :

Services

Size :

0-20

Stage :

Bootstrapped

About

First B2B Recruitment Agency Platform - Helping agencies grow faster and professionals find verified opportunities.

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Design and develop intelligent AI-based applications using advanced NLP and LLM techniques to solve real-world business challenges in financial services.
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Ideal Candidate

1.Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2.Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3.Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support

4.Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5.Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6.Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models

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8.Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9.Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

10.Mandatory (CTC) - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

11.Preferred (Experience 1) - Experience with LLMOps/MLOps tools for monitoring, evaluation, experimentation, and versioning of AI models.

12.Preferred (Experience 2) - Exposure to Azure OpenAI, Azure Kubernetes Service (AKS), Kubernetes, cloud-native AI deployments, or distributed systems.

13.Preferred (Experience 3) - Experience working with PostgreSQL, MongoDB, Redis, Kafka, or large-scale data platforms.

14.Preferred (Experience 4) - Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.

15.Preferred (Company) - Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

16.Mandatory ( Age ) - Candidate Should be Below 28 Years.

17.Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Roles & Responsibilities

Design and develop intelligent AI-based applications using advanced NLP and LLM techniques to solve real-world business challenges in financial services.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured financial data.
Integrate and orchestrate LLMs/SLMs for question-answering, summarization, semantic search, and document understanding.
Develop and maintain RESTful APIs (sync and async) to serve NLP models and chatbot interfaces using frameworks like FastAPI, Flask, etc.
Should have knowledge of advanced prompting techniques.
Implement semantic search, hybrid search, and text retrieval systems using Elasticsearch and vector databases (e.g., FAISS, Pinecone, Weaviate).
Perform NLP tasks such as entity recognition, text classification, intent detection, embedding generation, and sentiment analysis where required.
Monitor and fine-tune LLM/SLM performance with real-world user data to improve relevance, latency, and accuracy.
Exposure to LLMOps tools for monitoring, evaluation, and versioning of AI models in production.
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Develop traditional machine learning models (e.g., regression, decision trees, clustering) for structured data analysis and prediction tasks.
Interact with cross-functional teams to understand system issues and follow up with respective teams to get them fixed.
Understand and identify areas of improvement across businesses and participate in solution identification and implementation.
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Positive and problem-solving attitude, must work as an independent contributor.

Ideal Candidate

1.Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2.Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3.Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support

4.Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5.Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6.Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models

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8.Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

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➤ Develop LLM, RAG, NLP, Recommendation amp; Predictive solutions

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➤ Build ML models using PyTorch, TensorFlow, Keras amp; Scikit-learn

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Strong programming experience in Python.
Strong understanding of Machine Learning algorithms, statistics, and data structures.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
Experience with Generative AI and LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models.
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Experience developing and consuming REST APIs and microservices.
Working knowledge of SQL and NoSQL databases.
Experience with cloud platforms such as Azure, AWS, or GCP.
Understanding of Docker, Kubernetes, CI/CD, and MLOps.
Familiarity with Git and modern software development practices.

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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
4 years of relevant experience in AI/ML engineering or a related field.
Experience building and deploying production-grade AI/ML solutions.
Enterprise application development experience.
Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or similar managed AI platforms.
Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks is a plus.
Experience with AI/ML model monitoring, evaluation, and optimization.

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Strong problem-solving and analytical skills.
Ability to translate business requirements into practical AI/ML solutions.
Strong software engineering and debugging capabilities.
Ability to work independently as well as collaboratively in a cross-functional environment.
Good communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders.

Keywords

AI Engineer | ML Engineer | Machine Learning | Generative AI | LLM | Python | NLP | Deep Learning | RAG | Prompt Engineering | AI Agents | Azure OpenAI | AWS Bedrock | MLOps | TensorFlow | PyTorch | Scikit-learn | Vector Database | Cloud AI

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Work mode: Hybrid

Job Summary

We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and AI solutions that address complex business problems. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Generative AI, LLMs, and AI/ML deployment, with the ability to work across the complete AI/ML lifecycle.

Key Responsibilities

Design, develop, and deploy scalable Machine Learning and AI models for real-world business use cases.
Build and optimize ML pipelines covering data preparation, feature engineering, model development, evaluation, and deployment.
Develop solutions using Generative AI, Large Language Models (LLMs), NLP, and deep learning.
Work with LLMs, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
Integrate AI/ML models with enterprise applications and APIs.
Fine-tune and evaluate ML/LLM models based on business requirements.
Implement MLOps practices for model versioning, deployment, monitoring, and continuous improvement.
Collaborate with Data Scientists, Software Engineers, Architects, Product Managers, and business stakeholders.
Conduct model performance evaluation, optimization, and troubleshooting.
Ensure AI solutions meet requirements around security, scalability, reliability, responsible AI, and data privacy.
Stay current with emerging AI/ML technologies, frameworks, and industry best practices.

Required Skills

Strong programming experience in Python.
Strong understanding of Machine Learning algorithms, statistics, and data structures.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
Experience with Generative AI and LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models.
Strong knowledge of Prompt Engineering, RAG, embeddings, vector databases, and AI agents.
Experience with NLP, deep learning, or computer vision is an advantage.
Experience developing and consuming REST APIs and microservices.
Working knowledge of SQL and NoSQL databases.
Experience with cloud platforms such as Azure, AWS, or GCP.
Understanding of Docker, Kubernetes, CI/CD, and MLOps.
Familiarity with Git and modern software development practices.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
4 years of relevant experience in AI/ML engineering or a related field.
Experience building and deploying production-grade AI/ML solutions.
Enterprise application development experience.
Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or similar managed AI platforms.
Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks is a plus.
Experience with AI/ML model monitoring, evaluation, and optimization.

What You Bring

Strong problem-solving and analytical skills.
Ability to translate business requirements into practical AI/ML solutions.
Strong software engineering and debugging capabilities.
Ability to work independently as well as collaboratively in a cross-functional environment.
Good communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders.

Keywords

AI Engineer | ML Engineer | Machine Learning | Generative AI | LLM | Python | NLP | Deep Learning | RAG | Prompt Engineering | AI Agents | Azure OpenAI | AWS Bedrock | MLOps | TensorFlow | PyTorch | Scikit-learn | Vector Database | Cloud AI

Location: Gurugram

Work mode: Hybrid

Read more

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Generative AI

Machine Learning (ML)

Artificial Intelligence (AI)

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Key Skills: Python Full Stack, FastAPI/Flask/Django, React/Angular, AI/ML, GenAI, LLMs, RAG, Embeddings, Vector Databases, Cloud (AWS/Azure/GCP), CI/CD, Docker & Kubernetes.

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Location: Mumbai

Experience: 7–9 Years

Employment Type: Full-time

Virtual Drive: Saturday

We are looking for a Python Full Stack Developer with 3+ years of hands-on experience in AI/ML and Generative AI.

Key Skills: Python Full Stack, FastAPI/Flask/Django, React/Angular, AI/ML, GenAI, LLMs, RAG, Embeddings, Vector Databases, Cloud (AWS/Azure/GCP), CI/CD, Docker & Kubernetes.

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VY SYSTEMS PRIVATE LIMITED

Gen AI Engineer

at VY SYSTEMS PRIVATE LIMITED

Banu S

Posted by Banu S

Bengaluru (Bangalore)

4 - 8 yrs

₹3L - ₹23L / yr

Generative AI (GenAI)

Python

Job Description – Python & Generative AI Engineer

Python & Generative AI Engineer

Location: Bangalore, India

Experience: 4+ Years

Employment Type: Full-time

Job Summary

We are looking for an experienced Python & Generative AI Engineer with 4+ years of software development experience and strong hands-on expertise in Python, LLMs, Generative AI, and AI application development.

The ideal candidate should be comfortable building production-grade AI solutions, integrating LLMs with enterprise applications, and developing scalable APIs and services using Python.

Key Responsibilities

Design, develop, and deploy Generative AI applications using Python and modern AI/ML frameworks.
Work with Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar models.
Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
Build AI-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
Develop scalable REST APIs and backend services using FastAPI, Flask, or Django.
Integrate LLM APIs, prompt engineering, function/tool calling, and structured outputs into enterprise applications.
Work with vector databases such as FAISS, Pinecone, Weaviate, Milvus, or Azure AI Search.
Implement document processing, chunking, embeddings, semantic search, and knowledge retrieval solutions.
Evaluate LLM responses for accuracy, relevance, hallucination, latency, and cost.
Build and maintain production-ready AI pipelines with appropriate monitoring, logging, security, and error handling.
Collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver AI solutions.
Write clean, reusable, testable, and well-documented Python code.
Participate in architecture discussions, code reviews, testing, deployment, and production support.

Required Skills

4+ years of experience in software/Python development.
Strong proficiency in Python and object-oriented programming.
Hands-on experience with Generative AI and LLM-based applications.
Experience with OpenAI/Azure OpenAI, Anthropic, Google Gemini, or open-source LLMs.
Strong understanding of Prompt Engineering and LLM application patterns.
Experience implementing RAG pipelines.
Knowledge of embeddings, vector databases, semantic search, and document retrieval.
Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
Strong experience developing REST APIs using FastAPI/Flask/Django.
Familiarity with Git, CI/CD, Docker, and cloud platforms such as AWS, Azure, or GCP.
Good understanding of SQL and databases.
Strong problem-solving and communication skills.

Good to Have

Experience with AI agents / Agentic AI and tool/function calling.
Experience with multi-agent frameworks.
Knowledge of MLOps/LLMOps and model evaluation.
Experience with Kubernetes and containerized deployments.
Knowledge of NLP, machine learning, or deep learning.
Experience with Azure AI, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.
Understanding of responsible AI, data privacy, and LLM security.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Job Description – Python & Generative AI Engineer

Python & Generative AI Engineer

Location: Bangalore, India

Experience: 4+ Years

Employment Type: Full-time

Job Summary

We are looking for an experienced Python & Generative AI Engineer with 4+ years of software development experience and strong hands-on expertise in Python, LLMs, Generative AI, and AI application development.

The ideal candidate should be comfortable building production-grade AI solutions, integrating LLMs with enterprise applications, and developing scalable APIs and services using Python.

Key Responsibilities

Design, develop, and deploy Generative AI applications using Python and modern AI/ML frameworks.
Work with Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar models.
Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
Build AI-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
Develop scalable REST APIs and backend services using FastAPI, Flask, or Django.
Integrate LLM APIs, prompt engineering, function/tool calling, and structured outputs into enterprise applications.
Work with vector databases such as FAISS, Pinecone, Weaviate, Milvus, or Azure AI Search.
Implement document processing, chunking, embeddings, semantic search, and knowledge retrieval solutions.
Evaluate LLM responses for accuracy, relevance, hallucination, latency, and cost.
Build and maintain production-ready AI pipelines with appropriate monitoring, logging, security, and error handling.
Collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver AI solutions.
Write clean, reusable, testable, and well-documented Python code.
Participate in architecture discussions, code reviews, testing, deployment, and production support.

Required Skills

4+ years of experience in software/Python development.
Strong proficiency in Python and object-oriented programming.
Hands-on experience with Generative AI and LLM-based applications.
Experience with OpenAI/Azure OpenAI, Anthropic, Google Gemini, or open-source LLMs.
Strong understanding of Prompt Engineering and LLM application patterns.
Experience implementing RAG pipelines.
Knowledge of embeddings, vector databases, semantic search, and document retrieval.
Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
Strong experience developing REST APIs using FastAPI/Flask/Django.
Familiarity with Git, CI/CD, Docker, and cloud platforms such as AWS, Azure, or GCP.
Good understanding of SQL and databases.
Strong problem-solving and communication skills.

Good to Have

Experience with AI agents / Agentic AI and tool/function calling.
Experience with multi-agent frameworks.
Knowledge of MLOps/LLMOps and model evaluation.
Experience with Kubernetes and containerized deployments.
Knowledge of NLP, machine learning, or deep learning.
Experience with Azure AI, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.
Understanding of responsible AI, data privacy, and LLM security.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

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IT Service

Vertex AI-GCP

IT Service

Agency job

via spectrum talent management by Swati Shrivastava

Bengaluru (Bangalore)

6 - 12 yrs

₹15L - ₹25L / yr

Google Vertex AI

Senior Machine Learning Engineer – Vertex AI
Senior Generative AI Engineer – GCP
Google Cloud AI/ML Engineer
MLOps Engineer – Vertex AI
LLM Engineer – RAG, Gemini, and Vertex AI

Senior Machine Learning Engineer – Vertex AI
Senior Generative AI Engineer – GCP
Google Cloud AI/ML Engineer
MLOps Engineer – Vertex AI
LLM Engineer – RAG, Gemini, and Vertex AI

Read more

VY SYSTEMS PRIVATE LIMITED

Python Gen AI Engineer

at VY SYSTEMS PRIVATE LIMITED

Indira N

Posted by Indira N

Bengaluru (Bangalore)

4 - 6 yrs

₹1L - ₹15L / yr

Python

Generative AI (GenAI)

Agentic AI

Job Title: Python + GenAI Developer

Experience: 4–6 Years

Location: Bangalore / Hyderabad (as applicable)

Job Description:

We are looking for a skilled Python + Generative AI Developer with hands-on experience in Python development, LLM integration, and building AI-powered applications.

Key Responsibilities:

Develop backend applications and REST APIs using Python.
Build and integrate Generative AI solutions using LLMs.
Work with frameworks such as LangChain or LangGraph.
Implement Retrieval-Augmented Generation (RAG) pipelines and vector databases.
Integrate OpenAI or other LLM APIs into applications.
Collaborate with teams to develop, test, and deploy AI-powered solutions.
Work with cloud platforms such as AWS, Azure, or GCP.

Required Skills:

4–6 years of Python development experience.
Hands-on experience with Generative AI and LLMs.
Experience with LangChain or LangGraph.
Knowledge of RAG and vector databases.
Experience developing REST APIs using FastAPI or Flask.
Understanding of prompt engineering and LLM integration.
Familiarity with Git and cloud platforms.

Preferred Skills:

Experience with Agentic AI and AI agents.
Knowledge of embeddings and semantic search.
Experience with Docker and CI/CD.

Job Title: Python + GenAI Developer

Experience: 4–6 Years

Location: Bangalore / Hyderabad (as applicable)

Job Description:

We are looking for a skilled Python + Generative AI Developer with hands-on experience in Python development, LLM integration, and building AI-powered applications.

Key Responsibilities:

Develop backend applications and REST APIs using Python.
Build and integrate Generative AI solutions using LLMs.
Work with frameworks such as LangChain or LangGraph.
Implement Retrieval-Augmented Generation (RAG) pipelines and vector databases.
Integrate OpenAI or other LLM APIs into applications.
Collaborate with teams to develop, test, and deploy AI-powered solutions.
Work with cloud platforms such as AWS, Azure, or GCP.

Required Skills:

4–6 years of Python development experience.
Hands-on experience with Generative AI and LLMs.
Experience with LangChain or LangGraph.
Knowledge of RAG and vector databases.
Experience developing REST APIs using FastAPI or Flask.
Understanding of prompt engineering and LLM integration.
Familiarity with Git and cloud platforms.

Preferred Skills:

Experience with Agentic AI and AI agents.
Knowledge of embeddings and semantic search.
Experience with Docker and CI/CD.

Read more

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