Machine Learning Engineer
Bengaluru, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop stateful multi-agent workflows
Build production-ready RAG pipelines
Implement LLMOps for tracing and evaluating AI applications
Develop predictive recommendation engines using traditional ML algorithms
From the employer’s posting
developing stateful multi-agent workflows
building production-ready Retrieval-Augmented Generation (RAG) pipelines
implementing LLMOps for tracing and evaluating AI applications
developing predictive recommendation engines using traditional ML algorithms
What you’ll bring
All qualificationsCore experience
- 4+ years of professional experience in AI/ML
- Production-grade chatbot development experience
- Strong Python, FastAPI, and SQL skills
- Experience with PostgreSQL and Redis
- Hands-on experience with multi-agent workflows and RAG applications
Qualification wording
4+ years of professional experience in AI/ML.
Proven experience developing and deploying production-grade chatbots.
Strong Python, FastAPI, and SQL skills.
Experience with PostgreSQL and Redis.
Hands-on experience building multi-agent workflows and RAG applications.
Tools in this posting
- Python
- SQL
- PostgreSQL
- Redis
- Fastapi
Source — Tool mentions in context
Job Description: Senior Full-Stack AI/ML Engineer Experience: 4+ Years in AI/ML Position: Senior Full-Stack AI/ML Engineer Primary Skills: Agentic AI, LLMOps, Production Chatbots, Traditional Machine Learning, Recommendation Systems, Python, FastAPI, SQL Job Summary
The ideal candidate should be capable of developing stateful multi-agent workflows, building production-ready Retrieval-Augmented Generation (RAG) pipelines, implementing LLMOps for tracing and evaluating AI applications, and developing predictive recommendation engines using traditional ML algorithms. Strong programming skills in Python, FastAPI, and SQL, along with experience working with PostgreSQL and Redis, are required. Requirements
Experience and Qualifications 4+ years of professional experience in AI/ML. Proven experience developing and deploying production-grade chatbots. Hands-on experience building multi-agent workflows and RAG applications. Experience implementing LLM tracing, observability, and evaluation. Demonstrated experience developing, training, and deploying traditional ML-based recommendation systems. Strong Python, FastAPI, and SQL skills. Experience with PostgreSQL and Redis. Excellent analytical, troubleshooting, and problem-solving skills.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 29, 2026 · 19d ago
- Recorded sightings
- 17
- Last seen by us
- Oct 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
Job Description: Senior Full-Stack AI/ML Engineer
Experience: 4+ Years in AI/ML
Position: Senior Full-Stack AI/ML Engineer
Primary Skills: Agentic AI, LLMOps, Production Chatbots, Traditional Machine Learning, Recommendation Systems, Python, FastAPI, SQL
Job Summary
We are looking for a Senior Full-Stack AI/ML Engineer with 4+ years of experience in Artificial Intelligence and Machine Learning. The candidate must have hands-on experience in two distinct areas: Agentic AI and production-grade chatbot development, and traditional Machine Learning-based recommendation systems.
The ideal candidate should be capable of developing stateful multi-agent workflows, building production-ready Retrieval-Augmented Generation (RAG) pipelines, implementing LLMOps for tracing and evaluating AI applications, and developing predictive recommendation engines using traditional ML algorithms.
Strong programming skills in Python, FastAPI, and SQL, along with experience working with PostgreSQL and Redis, are required.
Experience: 4+ Years in AI/ML
Position: Senior Full-Stack AI/ML Engineer
Primary Skills: Agentic AI, LLMOps, Production Chatbots, Traditional Machine Learning, Recommendation Systems, Python, FastAPI, SQL
Job Summary
We are looking for a Senior Full-Stack AI/ML Engineer with 4+ years of experience in Artificial Intelligence and Machine Learning. The candidate must have hands-on experience in two distinct areas: Agentic AI and production-grade chatbot development, and traditional Machine Learning-based recommendation systems.
The ideal candidate should be capable of developing stateful multi-agent workflows, building production-ready Retrieval-Augmented Generation (RAG) pipelines, implementing LLMOps for tracing and evaluating AI applications, and developing predictive recommendation engines using traditional ML algorithms.
Strong programming skills in Python, FastAPI, and SQL, along with experience working with PostgreSQL and Redis, are required.
Requirements
Experience and Qualifications
4+ years of professional experience in AI/ML.
Proven experience developing and deploying production-grade chatbots.
Hands-on experience building multi-agent workflows and RAG applications.
Experience implementing LLM tracing, observability, and evaluation.
Demonstrated experience developing, training, and deploying traditional ML-based recommendation systems.
Strong Python, FastAPI, and SQL skills.
Experience with PostgreSQL and Redis.
Excellent analytical, troubleshooting, and problem-solving skills.
4+ years of professional experience in AI/ML.
Proven experience developing and deploying production-grade chatbots.
Hands-on experience building multi-agent workflows and RAG applications.
Experience implementing LLM tracing, observability, and evaluation.
Demonstrated experience developing, training, and deploying traditional ML-based recommendation systems.
Strong Python, FastAPI, and SQL skills.
Experience with PostgreSQL and Redis.
Excellent analytical, troubleshooting, and problem-solving skills.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.bbinsight.com. The employer’s form will show what is required.
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- Pay
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- Location & working pattern
Bengaluru, India
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