AI/ML Engineer

Bestpeers LLC; Indore District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Bestpeers InfoSystem Pvt. Ltd. in Indore seeks an experienced AI/ML Engineer to design, develop, and deploy production-grade AI solutions across NLP, LLMs, and computer vision.

You will build scalable, secure systems for business applications and work with cross-functional teams. The role requires hands-on Python, ML engineering, and experience with RAG, agentic AI, and deployment pipelines. Excellent problem solving and collaboration are essential for success in this busy, growth-oriented

Qualifications

• 3+ years of AI/ML engineering with real-world deployments.
• Strong Python programming and software engineering fundamentals.

Responsibilities

• Design, fine-tune, and deploy ML, NLP, LLM, and Computer Vision solutions for business use cases.
• Develop agentic and multi-agent AI systems with tool calling, planning, orchestration, memory, guardrails, and human-in-the-loop workflows.
• Build and optimize RAG pipelines from data ingestion to grounded generation.
• Fine-tune LLMs when beneficial over prompting or RAG-based approaches.
• Deploy and monitor AI models in production with focus on latency, reliability, scalability, and cost.
• Integrate vector databases and knowledge graphs for efficient retrieval and reasoning.
• Implement production monitoring and tracing across model inference and pipelines.
• Apply AI governance and security practices.

Skills

Python

Backend frameworks

AI/ML engineering

NLP/LLM

Agentic AI

RAG

Computer Vision

REST APIs

Cloud platforms

MLOps

Tools

Docker

Git

Kubernetes

CI/CD

Neo4j

Job description

Job Description

Bestpeers InfoSystem Pvt. Ltd. is looking for an experienced AI/ML Engineer to design,develop, and deploy production-grade AI solutions across Agentic AI, Retrieval-AugmentedGeneration (RAG), Large Language Models (LLMs), Natural Language Processing (NLP), andComputer Vision.The ideal candidate will have strong Python programming skills, hands-on experience withmodern AI architectures, and a proven ability to build scalable, secure, and reliable AI systemsfor real-world business applications.

Responsibilities

• Design, fine-tune, and deploy Machine Learning, NLP, LLM, and Computer Visionsolutions for business use cases.
• Develop agentic and multi-agent AI systems with tool calling, planning, orchestration,memory, guardrails, and human-in-the-loop workflows.
• Build and optimize RAG pipelines, including data ingestion, chunking, embeddings,retrieval, re-ranking, and grounded generation.
• Fine-tune LLMs when measurable improvements justify fine-tuning over prompting orRAG-based approaches.
• Develop Computer Vision pipelines for image classification, object detection, OCR, andvideo analytics.
• Deploy and serve AI models and agents in production while optimizing latency, reliability,scalability, and cost.
• Build evaluation frameworks to identify hallucinations, retrieval failures, and modelaccuracy degradation.
• Integrate vector databases and knowledge graphs to support efficient informationretrieval and reasoning.
• Implement production monitoring and tracing across model inference, retrieval pipelines,and agent execution.
• Apply AI governance and security practices, including data protection, access control,prompt-injection defense, and auditability.
• Collaborate with Data Science, Engineering, Product, and Compliance teams to deliverbusiness-focused AI solutions.

Required Skills & Qualifications

• Strong Python programming and software engineering fundamentals, including writingclean, tested, and maintainable code. Python is mandatory.
• Proficiency in at least one backend framework: Flask, Django, or FastAPI.
• 3+ years of experience in AI/ML engineering, including real-world productiondeployments.
• Practical experience developing and deploying NLP and LLM-powered applications.
• Hands-on experience with LLM fine-tuning.
• Experience building agentic AI or multi-agent systems.
• Strong understanding of RAG architectures, retrieval optimization, embeddings, andvector databases.
• Practical experience developing Computer Vision pipelines.
• Experience designing evaluation frameworks for ML models, RAG systems, or AIagents.
• Working knowledge of REST APIs, SQL, Docker, Git, CI/CD, and MLOps practices.
• Experience deploying AI/ML workloads on at least one major cloud platform: AWS, GCP,or Azure.
• Understanding of production requirements, including latency, scalability, reliability,security, and cost optimization.

Good to Have

• Knowledge of graph databases and knowledge graph technologies such as Neo4j.
• Experience with distributed, multimodal, or real-time AI systems.
• Familiarity with Kubernetes, GPU-based workloads, and model-serving infrastructure.
• Experience working in regulated industries such as finance, healthcare, or insurance.

What We’re Looking For

• Strong analytical thinking and problem-solving abilities.
• Ability to translate business requirements into scalable AI solutions.
• A practical, production-focused approach to AI engineering.
• Strong collaboration and communication skills.
• A commitment to continuous learning and staying current with evolving AI technologies.

Experience Required:

3+ YearsNote: Candidates should have hands-on production experience in AI/ML engineering, withpractical expertise in Python, LLM fine-tuning, Agentic AI, RAG, and Computer Vision.

Employment Type: Full-Time