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About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

Job Summary:
We are seeking an experienced Developer – Agentic Commerce to design, develop, and deploy production-grade autonomous commerce solutions powered by Large Language Models (LLMs), Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have hands-on experience building intelligent agents that support customer journeys across product discovery, recommendations, purchasing, service automation, and post-order support.
This role requires deep expertise in multi-agent orchestration, context engineering, tool integration, memory management, MCP-based extensibility, and LLM-powered commerce experiences. You will collaborate with business, product, and engineering teams to deliver scalable, secure, observable, and governed AI-driven commerce solutions.

Key Responsibilities:
1. Agentic Commerce Solution Development
* Design and implement agentic workflows across browse, decide, buy, and support customer journeys.
* Build autonomous and semi-autonomous AI agents for recommendations, customer assistance, service recovery, and order management.
* Translate business capabilities into reusable tools, skills, and agent actions.
* Develop scalable agent architectures supporting orchestration, reasoning, and task execution.

2. Multi-Agent Orchestration
* Design planner/executor/reviewer patterns for collaborative agent systems.
* Implement agent-to-agent communication and coordination mechanisms.
* Develop shared memory, context propagation, and state management strategies.
* Build recovery, fallback, escalation, and exception-handling workflows.

3. LLM & Tool Integration
* Integrate OpenAI, Azure OpenAI, Amazon Bedrock, and other foundation models into enterprise applications.
* Develop schema-driven prompts, function-calling workflows, and tool-use patterns.
* Connect agents with enterprise commerce platforms including PXM, pricing engines, OMS, customer service platforms, payment systems, loyalty programs, and personalization services.
* Optimize model performance, latency, accuracy, and cost efficiency.

4. Context Engineering & RAG
* Design retrieval pipelines utilizing embeddings, chunking strategies, indexing, and retrieval optimization.
* Implement memory architectures supporting session, conversation, and long-term context retention.
* Engineer grounding mechanisms to improve agent reliability and reduce hallucinations.
* Configure and optimize vector databases including Pinecone, Weaviate, FAISS, and pgvector.

5. MCP & Platform Engineering
* Develop MCP-based plugins and adapters to modularize commerce capabilities.
* Build reusable agent skills, capability registries, and tool libraries.
* Create extensible frameworks supporting rapid onboarding of new business capabilities.
* Establish governance, observability, monitoring, and auditing standards for agent execution.

6. Security, Governance & Optimization
* Implement secure access controls and permissions for agent tool usage.
* Ensure compliance with enterprise AI governance and data security requirements.
* Monitor agent performance using observability platforms and telemetry tools.
* Optimize token consumption, retrieval efficiency, and response latency.

Role Requirements and Qualifications:
* 7–10 years of software engineering experience with Java, Kotlin, Python, or TypeScript.
* Strong experience designing microservices and event-driven architectures.
* Hands-on experience with agent frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel.
* Proven expertise integrating LLMs through OpenAI, Azure OpenAI, Amazon Bedrock, or equivalent platforms.
* Strong understanding of function calling, tool usage, prompt engineering, and schema-driven interactions.
* Experience implementing Retrieval-Augmented Generation (RAG) solutions.
* Hands-on expertise with embeddings, chunking, indexing, retrieval tuning, and vector search.
* Experience with Pinecone, Weaviate, FAISS, pgvector, or similar vector databases.
* Strong understanding of API integrations, distributed systems, and cloud-native architectures.
* Excellent analytical, troubleshooting, and problem-solving skills.
* Strong communication and stakeholder management capabilities.

Core Competencies:
- Agentic System Design
- Planning and reasoning architectures
- Memory and state management
- Tool-use orchestration
- Multi-agent collaboration
- Recovery and fallback strategies
- MCP Engineering
- Plugin-based architecture
- Capability registries
- Tool adapters and reusable skills
- Modular AI platform design
- Context Engineering
- Grounding and retrieval optimization
- Session and long-term memory orchestration
- Persona and system prompt design
- Context lifecycle management
- AI-Augmented Commerce
- Personalized customer journeys
- Intelligent recommendations
- Service automation
- Order support and operational optimization

Preferred Skills:
* Experience with feature flag and experimentation platforms such as LaunchDarkly or Split.
* Knowledge of observability tools, AI monitoring platforms, and telemetry frameworks.
* Familiarity with AI safety, governance, and compliance frameworks.
* Experience optimizing inference costs, retrieval performance, and agent latency.
* Exposure to commerce platforms, digital marketplaces, and customer experience ecosystems.

Why Join Us:
* Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
* Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
* Competitive compensation & benefits, ESOPs and international assignments.
* Supportive environment with healthy work-life balance and a focus on employee well-being.
* Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.