AI Developer – Agentic AI (Enterprise Systems) (WFH)

AI Developer – Agentic AI (Enterprise Systems) (WFH)

02 Aug
|
Outsource Bigdata
|
India

02 Aug

Outsource Bigdata

India

by Aimleap | Apr 2, 2026

AI Developer – Agentic AI (Enterprise Systems) (WFH)


Aimleap

India (Remote)

Posted on April 2, 2026

AIMLEAP is Hiring:
AI Developer – Agentic AI (Enterprise Systems) (WFH)

Experience: 4–8 Years
Location: Remote (Work from Home)
Mode of Engagement: Full-time
No of Positions: 2 to 4
Educational Qualification: Bachelor’s / Master’s degree in Computer Science, AI, Data Science, or related field
Industry: AI / SaaS / Enterprise Software / Data & AI
Notice Period: Immediate Joiners Preferred

Job Description:What We Are Looking For:
Strong hands-on experience building enterprise-grade Agentic AI systems end to end.
Proven experience in requirements gathering, system design, development, deployment, and maintenance of AI-driven applications.
Deep hands-on expertise with LangChain, LangGraph, CrewAI, and agent orchestration frameworks.
Strong experience working with LLMs across providers, including OpenAI models, Gemini (formerly Bard), and Hugging Face Transformers.
Hands-on experience with vector databases for embeddings, semantic search, RAG, and long-term memory.
Practical experience in LLM fine-tuning, prompt engineering, evaluation, and optimization.
Strong Python expertise with backend development using FastAPI and Flask.
Experience deploying AI systems using Docker and CI/CD pipelines in production environments.

Responsibilities:
Gather requirements and design enterprise-level Agentic AI architectures aligned with business needs.
Build and orchestrate single-agent and multi-agent workflows using LangChain, LangGraph, and CrewAI.
Integrate and work with LLMs via APIs and open-source models using Transformers.
Implement RAG pipelines using vector databases for context-aware AI responses.
Perform LLM fine-tuning, prompt optimization, and performance evaluation.
Develop production-ready APIs using FastAPI / Flask to expose AI services.




Containerize AI applications using Docker and deploy through CI/CD pipelines.
Monitor, maintain, and continuously improve deployed Agentic AI systems.
Collaborate with product, data, and engineering teams to deliver scalable AI solutions.

Qualifications:
4–8 years of hands-on experience in AI / ML development, with strong focus on Agentic AI systems.
Strong proficiency in Python and backend system design.
Proven experience with LangChain, LangGraph, CrewAI, and agent-based architectures.
Hands-on experience using Transformers (Hugging Face) and LLM APIs including Gemini (Bard).
Solid experience with vector databases and RAG-based solutions.
Strong experience building APIs using FastAPI and/or Flask.
Practical knowledge of Docker, CI/CD pipelines, and production deployments.
Strong analytical, system design, and problem-solving skills.
Ability to independently own and scale AI systems in a remote setup.

About Us:
AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI-augmented Data Solutions, Automation, and Research & Analytics Services.

AIMLEAP has been recognized as ‘The Great Place to Work®’. With focus on AI and automation-first approach, our services include end-to-end IT application management, Mobile App Development, Data Management, Data Mining Services, Web Data Scraping, Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions.

We started in 2012 and successfully delivered projects in IT & digital transformation, automation driven data solutions, and digital marketing for more than 750 quick-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more.

– An ISO 9001:2015 and ISO/IEC 27001:2013 certified
– Served 750+ customers
– 12+ Years of industry experience
– 98% Client Retention
– Great Place to Work® Certified
– Global Delivery Centers in the USA, Canada, India & Australia.

📌 AI Developer – Agentic AI (Enterprise Systems) (WFH)
🏢 Outsource Bigdata
📍 India

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