Data Scientist / AI Engineer (Python, ML, RAG) at TalentXO · Pune · 3 - 5 years · ₹15L - ₹20L / yr · Profitable · Posted 18 Sep 2026
Machine Learning (ML)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.
- Build, train, and evaluate deep learning models for NLP tasks including classification, NER, summarization, and embedding generation.
- 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.
- Should be able to work as an Individual Contributor on new and existing projects.
- 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
.7.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.
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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Data ScienceStrong Data Scientist / AI Engineer / Generative AI Engineer profile.
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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.
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Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.
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Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.
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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.
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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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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.
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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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PythonJob 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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Strong AI Engineer / Machine Learning Engineer profiles.
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Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.
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Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.
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Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.
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Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.
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Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.
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Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.
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Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.
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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
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Mandatory (Age) - Candidate's Age should be below 28 Years
PythonJob 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.
About the role
We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
Responsibilities
- Build and iterate on prompt pipelines and multi-agent workflow components
- Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
- Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
- Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
- Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
- Debug and maintain pipeline stages in production
What you bring:
- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
- Solid Python fundamentals clean, working, readable code
- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
- Comfort with Git, REST APIs, and working in a Linux environment
- A feel for content and narrative you can judge whether generated output is actually good, not just valid
- Curiosity and clear communication you ask good questions and don't stay stuck silently
Preferred
- Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
- Experience writing evals or LLM-as-judge scoring
- Node.js and Fastapi familiarity, or experience deploying on AWS
About the role
We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
Responsibilities
- Build and iterate on prompt pipelines and multi-agent workflow components
- Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
- Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
- Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
- Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
- Debug and maintain pipeline stages in production
What you bring:
- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
- Solid Python fundamentals clean, working, readable code
- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
- Comfort with Git, REST APIs, and working in a Linux environment
- A feel for content and narrative you can judge whether generated output is actually good, not just valid
- Curiosity and clear communication you ask good questions and don't stay stuck silently
Preferred
- Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
- Experience writing evals or LLM-as-judge scoring
- Node.js and Fastapi familiarity, or experience deploying on AWS
Machine Learning (ML)
Deep LearningPython🚀 WE’RE HIRING | AI/ML GENERATIVE AI ENGINEER
📍 Location: Remote
💼 Experience: 5+ Years
🔄 Position: Contract – Extendable
🔹 ROLE HIGHLIGHTS
➤ Build and deploy AI/ML amp; Generative AI solutions
➤ Develop LLM, RAG, NLP, Recommendation amp; Predictive solutions
➤ Work on AI Agents, Chatbots, Computer Vision amp; Content Intelligence
➤ Build ML models using PyTorch, TensorFlow, Keras amp; Scikit-learn
➤ Develop RAG solutions using LangChain, LlamaIndex, FAISS/Milvus
➤ Integrate OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI amp; Hugging Face
➤ Build scalable AI APIs using Python, FastAPI/Flask/Django
➤ Contribute to Private AI amp; Smart Agentic Systems
⚙️ MUST-HAVE SKILLS
◆ Python – 3+ years
◆ AI/ML – 5+ years
◆ Generative AI – 2+ years
◆ LLMs, RAG, Embeddings , Transformers
◆ ML/DL, NLP amp; Predictive Analytics
◆ Cloud AI Platforms – Azure / AWS / GCP
◆ AI/ML Deployment | MLOps
Interview Process - F2F Round at Pune Location
PythonRole Overview
We are looking for a Python Developer with strong experience in Generative AI and LLM-based applications. The candidate should have hands-on experience building AI solutions using Python, RAG, LangChain/LangGraph, and related GenAI technologies.
Mandatory Skills
Python, GenAI/LLM, RAG, LangChain/LangGraph, Agentic AI, FastAPI, REST API, Vector Database, Prompt Engineering, Microservices
Key Responsibilities
- Develop and maintain applications using Python and modern frameworks.
- Build GenAI/LLM-based applications and solutions.
- Develop RAG pipelines using vector databases.
- Work with LangChain/LangGraph for LLM and agent-based applications.
- Develop and integrate REST APIs using FastAPI.
- Implement Agentic AI workflows and AI-powered features.
- Integrate LLMs with existing applications and microservices.
- Apply prompt engineering techniques to improve AI application performance.
PythonRole Overview
We are looking for an experienced AI/ML Engineer with strong expertise in Python, Generative AI, LLMs, LangChain, and LangGraph. The candidate will be responsible for designing and developing AI-powered applications, intelligent agents, and scalable LLM-based solutions.
Key Responsibilities
- Design and develop AI/ML and Generative AI applications using Python and modern LLM technologies.
- Build LLM-based applications and AI agents using LangChain and LangGraph.
- Develop agentic workflows involving tool calling, memory, reasoning, and multi-step orchestration.
- Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or other foundation models.
- Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases.
- Work with embeddings, prompt engineering, semantic search, and document processing.
- Develop scalable APIs and backend services using Python, FastAPI, or Flask.
- Build and integrate AI solutions with existing applications and enterprise systems.
- Deploy and maintain AI/ML solutions on cloud platforms.
- Collaborate with data scientists, software engineers, and product teams to develop business-focused AI solutions.
Required Skills
- Strong hands-on experience in Python programming.
- Strong experience in AI/ML and Generative AI.
- Hands-on experience with LLMs and LLM-based application development.
- Strong experience with LangChain and/or LangGraph.
- Experience building AI Agents / Agentic AI workflows.
- Strong understanding of RAG, embeddings, vector databases, and prompt engineering.
- Experience with vector databases such as FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.
- Experience developing REST APIs using FastAPI/Flask.
- Good understanding of Machine Learning, NLP, and deep learning concepts.
- Experience with Azure / AWS / GCP cloud platforms.
Good to Have
- Experience with multi-agent systems and agent orchestration.
- Knowledge of MLOps / LLMOps.
- Experience with Docker, Kubernetes, and CI/CD.
- Knowledge of LLM evaluation, monitoring, observability, and AI governance.
- Experience with Azure OpenAI, Azure AI Foundry, or AWS Bedrock.
Python🚀 Hiring: Python + Gen AI Developer
📍 Location: Bengaluru
💼 Experience: 4–6 Years
Mandatory Skills:
✅ Python
✅ Generative AI / Gen AI
✅ LLMs / AI Application Development
✅ Python Backend / API Development
Role:
Looking for a skilled Python + Gen AI Developer with hands-on experience in developing Python-based applications and integrating Generative AI/LLM solutions.
🔹 Develop scalable Python applications
🔹 Build and integrate Gen AI/LLM solutions
🔹 Develop APIs and backend services
🔹 Collaborate with cross-functional teams
🔹 Troubleshoot and optimize applications
📩 Interested candidates can share their updated resume.
#Hiring #PythonDeveloper #GenAI #GenerativeAI #LLM #AIJobs #BengaluruJobs #TechHiring #ITJobs
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon