Remote Ai/ml engineer agentic ai focus Jobs – 14 Open Jobs Today

AI/ML Engineer - Agentic AI Focus
Delphic Global —Remote
- ₹2,00,000 - ₹2,20,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- SQL
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AI & Data Engineer
Anovia —Remote
- ₹24,00,000 - ₹28,00,000 a year
- Remote
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid time off
AI/ML Engineers-Gen AI
Websenor —Remote
- Full-time
- Remote
- Microsoft Access
- Computer Science
- Java
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12d
Associate AI Engineer Intern — Agentic AI
Logikwerk Pvt Ltd —Remote
- Remote
- Master's degree
- APIs
- AI
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AI Development Engineer
Zstar Education Ltd —Remote
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
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5d
AI/ML Security Engineer – GenAI & Prompt Injection
Ruhumi Technologies —Remote
- Up to ₹80,000 a month
- Remote
- Java
- Master's degree
- Databases
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6d
Full-Stack Software Engineer: ML Focus
Boston Bioprocess —Remote
- ₹15,000 - ₹30,000 a month
- Full-time
- Remote
- Computer Science
- DevOps
- Master's degree
- Health insurance
- Life insurance
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4d
Machine Learning Engineer with an Agentic Focus
High 5 Games —Remote
- Remote
- Machine learning
- AI
- Python
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Lead AI Engineer
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Databases
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Senior AI Engineer (m/f/d)
Kayzen —Remote
- Remote
- Azure
- Master's degree
- AWS
- Work from home
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9d
AWS DevOps Engineer
Shreem Talent Bridge —Remote
- ₹90,000 - ₹1,50,000 a month
- Remote
- DevOps
- AWS
- AI
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Machine Learning Engineer
Norstella —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance
Senior Data Analyst
Netomi —Remote
- Full-time
- Remote
- Data analysis skills
- SQL
- Analysis skills
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AI & Data Engineer
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6d

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AI/ML Engineer - Agentic AI Focus

Delphic Global
Remote

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Job details

Permanent | Full-time
₹2,00,000 - ₹2,20,000 a month

Qualifications

CI/CD
Azure
Law
Kubernetes
NoSQL
Master's degree
SQL
OS Kernels
AWS
Docker
Continuous integration
APIs
A/B testing
AI
Communication skills
Graph databases
Python
Identity & access management

Full job description

AI Agentic Engineer

Location: Remote
Experience: 6+ years
Positions: 1
Employment Type: Full-time

Job Overview

We are looking for an experienced AI Agentic Engineer to design, develop, and deploy production-grade AI agents and autonomous workflows. The ideal candidate will have strong Python and LLM expertise, hands-on experience with agent frameworks, RAG, orchestration, evaluation, and cloud deployment, with a strong focus on enterprise-grade reliability and security.

Key Responsibilities

Design and develop autonomous AI agents capable of multi-step reasoning, planning, task decomposition, and dynamic decision-making.
Build agent architectures using ReAct, Plan-and-Execute, Reflexive, hierarchical, and multi-agent patterns.
Develop tool-augmented and function-calling agents with secure tool execution.
Implement agent memory, state management, context management, and long-term knowledge retention.
Build and optimize RAG pipelines using vector databases, embeddings, chunking, retrieval, and hybrid search.
Develop planning, re-planning, feedback, self-correction, and graceful-recovery mechanisms.
Integrate LLMs from OpenAI, Azure OpenAI, Anthropic, and open-source ecosystems.
Build agent orchestration using LangGraph/LangChain, Semantic Kernel, AutoGen, CrewAI, or custom orchestration frameworks.
Implement observability, tracing, logging, model/prompt versioning, and production monitoring.
Design evaluation frameworks covering task success, reliability, latency, cost, hallucination, and safety.
Implement security controls for prompt injection, jailbreaks, data isolation, privilege management, and safe tool execution.
Integrate agents with enterprise applications, databases, APIs, SaaS platforms, CRM/ERP systems, and event-driven services.
Deploy and operate agentic applications using cloud platforms and modern DevOps practices.

Required SkillsProgramming & Systems

Expert-level Python programming.
Strong understanding of asynchronous programming, concurrency, task scheduling, and distributed execution.
Strong SQL/NoSQL and API integration experience.

Agentic AI

Strong hands-on experience building production AI agents.
Knowledge of:
ReAct
Plan-and-Execute
Reflexive agents
Hierarchical and multi-agent architectures
Tool/function calling
Stateful and stateless agents
Agent memory management

LLMs & Prompt Engineering

Practical experience with OpenAI, Azure OpenAI, Anthropic, or open-source LLMs.
Strong prompt-engineering skills for reasoning, planning, critique, reflection, and tool use.
Experience with few-shot and zero-shot prompting.
Understanding of model selection based on cost, latency, context window, and performance.
Knowledge of LoRA/adapters and fine-tuning is a plus.

Frameworks & Tooling

Hands-on experience with one or more:
LangGraph / LangChain
Semantic Kernel
AutoGen
CrewAI
Ability to build custom agent orchestration beyond off-the-shelf frameworks.
Experience implementing timeouts, retries, sandboxing, validation, and execution safety.

RAG & Memory

Experience designing short-term and long-term agent memory.
Strong RAG experience with technologies such as FAISS, Pinecone, Azure AI Search, or equivalent.
Understanding of embeddings, chunking, retrieval strategies, context compression, and hybrid/knowledge-graph-based retrieval.

MLOps / AgentOps

Experience deploying AI/ML applications into production.
Knowledge of agent tracing, observability, prompt/response logging, and error monitoring.
Experience with Docker and Kubernetes.
Exposure to serverless and cloud-native deployments.
CI/CD and model/prompt versioning experience.

Cloud

Strong experience with at least one major cloud platform:
Azure — preferred
AWS
GCP
Experience with managed AI services, IAM, secrets management, and cloud cost optimization.

Evaluation, Security & Responsible AI

Experience designing offline evaluation and simulation frameworks for agentic systems.
Ability to measure task success rate, cost, latency, reliability, and safety.
Experience with A/B testing of prompts, tools, models, and agent strategies.
Understanding of prompt-injection and jailbreak mitigation.
Knowledge of secure tool execution, access control, privacy, and data isolation.
Experience implementing human-in-the-loop escalation and responsible AI practices.

Good to Have

Multi-agent collaboration and negotiation.
Enterprise copilots and autonomous workflow automation.
Human-AI collaboration and supervisor/copilot patterns.
Knowledge graphs and hybrid memory architectures.
Reinforcement learning for agent policy optimization.
Experience with event-driven systems and message queues.

What We're Looking For

Strong problem-solving and system-design skills.
Ability to take an AI agent solution from concept to production.
Strong understanding of enterprise AI architecture and operational reliability.
Comfortable working with rapidly evolving LLM and agentic AI technologies.
Strong communication and collaboration skills.

Pay: ₹200,000.00 - ₹220,000.00 per month

Work Location: Remote

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ai/ml engineer agentic ai focus jobs in remote

AI/ML Engineer - Agentic AI Focus

AI & Data Engineer

AI/ML Engineers-Gen AI

Associate AI Engineer Intern — Agentic AI

AI Development Engineer

AI/ML Security Engineer – GenAI & Prompt Injection

Full-Stack Software Engineer: ML Focus

Machine Learning Engineer with an Agentic Focus

Lead AI Engineer

Senior AI Engineer (m/f/d)

AWS DevOps Engineer

Machine Learning Engineer

Senior Data Analyst

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