Business Head(E-Commerce)

Forward-deployed engineers (FDEs) are Mactores' services layer. You embed with the customer's team, own outcomes from discovery through the production cutover, and personally carry the delivery commitment.

The agent platform we deploy absorbs 60–70% of engagement work, discovery, assessment, design, and testing. You absorb the judgment: target architecture, refactoring trade-offs, model selection, cutover strategy, and the decisions an agent platform cannot make. The agent absorbs scale. You absorb judgment. 

This is not a staff-augmentation seat and not an advisory role. You ship.

What you will do?

• Deliver production agentic AI systems and AWS modernization engagements on committed dates across three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.
• Build and productionize AI agents, orchestration, retrieval pipelines, evaluation harnesses, observability running against real customer data, not demo data.
• Convert existing products into agents: expose product functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Convert existing Business processes into agents: expose process functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Embed directly with customer engineering teams. Run architecture sessions, defend design decisions, and align stakeholders from VP Engineering to CTO.
• Make agent decisions traceable and defensible, validation runs in parallel with live workloads, and outputs hold up to internal audit and regulators (HIPAA, PCI-DSS, FSI-grade governance where the vertical demands it).
• Feed field experience back into the platform and practice: your deployment patterns, integration playbooks, and edge cases shape how we deliver.

What are we looking for?

• Excellent communication skills (English) — verbal and written. Non-negotiable. You will present architecture to customer CTOs, write documents that hold up in audit, and defend judgment calls in the room. If you can build but not explain, this role is not a fit.
• You have shipped production agentic AI systems on AWS. Not POCs, not notebooks — systems running in production for real users. This is the primary qualification. Be prepared to walk through what you shipped, the decisions you made, and what broke.
• Deep understanding of agentic architecture — you can design an agent system from first principles and explain why each component exists:
• Agent design patterns: single-agent vs. multi-agent systems, supervisor/orchestrator patterns, hierarchical agent topologies, planner–executor separation, and when each applies.
• Orchestration: building and operating orchestrator agents that decompose tasks, route work to specialist agents or tools, and manage state across multi-step workflows (LangGraph, Strands Agents, CrewAI, or equivalent).
• Memory: short-term/working memory (context management, conversation state) and long-term memory (episodic and semantic stores, vector- and graph-backed retrieval), and the production trade-offs of each.
• Reflection and self-correction: critique loops, self-evaluation, retry-with-feedback patterns, and evaluation harnesses that catch agent failures before customers do.
• Tool use and function calling: schema design, tool-selection reliability, error handling, and agent-to-agent composition.
• RAG and retrieval pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding agent decisions in customer data.
• Strong AWS production experience: Amazon Bedrock and AWS AI services, plus core platform services (Lambda, API Gateway, DynamoDB, RDS/Aurora, Glue, EMR, Redshift, Kinesis, or similar depending on specialization).
• Solid software engineering fundamentals Python, TypeScript, CI/CD, infrastructure-as-code, testing-driven development discipline.
• Experience with data or application modernization (database migration, legacy refactoring, data platform builds) is a strong plus, since agents run against these workloads.
• Indicative experience: roughly 3–10 years in engineering roles, with agentic AI / GenAI as your current day job. We have demonstrated agent-native expertise over tenure — an engineer with 3–4 years of hands-on agentic AI work typically outperforms a 12-year generalist on this work.

You'll be preferred if you've:

• US English verbal and written fluency 
• Delivery experience in one or more of our verticals: Financial Services, Healthcare & Life Sciences, Internet & Software, Manufacturing, or Telco/Media/Entertainment/Gaming/Sports.
• Model tuning and fine-tuning: systematic prompt engineering and optimization; parameter-efficient fine-tuning (LoRA/QLoRA or similar); instruction tuning; working knowledge of RLHF/DPO; sound judgment on when to fine-tune vs. prompt vs. RAG; and evaluation of tuned models against baselines. Fine-tuning experience on Amazon Bedrock or SageMaker is a plus.
• Experience with compliance-sensitive AI systems (HIPAA, PCI-DSS, SOC 2, data residency).
• Knowledge graph, code-analysis (AST), or CDC/streaming experience (Debezium, Kafka/MSK).
• Solid software engineering fundamentals — Java, C++, Go Lang, .Net, Rust
• Prior customer-facing consulting or forward-deployed experience.
• AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or Data Analytics).

Why This Role?

• You own outcomes, not tickets. FDEs carry the delivery commitment personally — architecture, judgment, and cutover are yours.
• You work agent-native from day one. Our delivery model would not function without agents. You build with the platform, not around it.
• You ship. Engagements measured in weeks to production, legacy retired, outcomes named. No archived pilots.
• You compound. Field delivery informs the Aedeon platform roadmap; the platform's growth expands what you can deliver. Few engineering roles sit in that loop.

Responsibilities:

• Develop and maintain high-quality, efficient, and scalable backend applications.
• Participate in all phases of the software development lifecycle (SDLC)
• Write clean, well-documented, and testable code adhering to best practices.
• Collaborate with team members to ensure the successful delivery of projects.
• Debug and troubleshoot complex technical problems.
• Identify and implement performance optimizations.
• Participate in code reviews
• Hands-on experience with Springboot, Java 8 and above.
• 2-5 years of experience developing Java applications.
• Knowledge about at least one messaging system like Kafka, RabbitMQ etc.
• Required React developer requirements, qualifications & skills:
• Proficiency in React.js and its core principles
• Strong JavaScript, HTML5, and CSS3 skills
• Experience with popular React.js workflows (such as Redux)
• Strong understanding of object-oriented programming (OOP) principles.
• Experience with design patterns and best practices for Java development.
• Proficient in unit testing frameworks (e.g., JUnit).
• Experience with build automation tools (e.g., Maven, Gradle).
• Experience with version control systems (e.g., Git).
• Experience with one of these databases – Postgres, MongoDb, Cassandra
• Knowledge on Retail or OMS is a plus.
• Experienced in containerized deployments using Docker, Kubernetes and DevOps mindset
• Ability to reverse engineer existing/legacy and document findings on confluence.
• Create automated tests for unit, integration, regression, performance, and functional testing, to meet established expectations and acceptance criteria.

Roles:

• Developing core infrastructure in Python, Django.
• Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
• Architecting servers and services that enable new product features.
• Building out newly enabled product features

• Minimum 4 years of industry or open-source experience.
• Proficient in at least one OO language: Python(preferred)/Golang/Java.
• Writing high-performance, reliable and maintainable code.
• Good knowledge of database structures, theories, principles, and practices.
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].

We are seeking a highly motivated and skilled Solution Architect/Business Analyst to join our dynamic team. As a Solution Architect, you will be an integral part of our new clients onboarding team, responsible for understanding the Finflux SaaS lending platform and its functionalities. Your primary role will be to work closely with customers from financial institutes, NBFCs, Fintechs, and banks to understand their requirements and effectively map them with the

Finflux product, while identifying any gaps or customization needs. Additionally, you will collaborate with productmanagers to prioritize requirements and implement identified.

Roles & Responsibilities:

• Product Understanding: Gain in-depth knowledge of the Finflux SaaS lending platform, including its Loan

Management System (LMS), Loan Origination System (LOS), Business Rules Engine (BRE), and

Delinquency Management System (Collections).

• Customer Requirements Analysis: Collaborate with customers to gather and analyze their business

requirements, pain points, and objectives. Identify their specific needs related to lending operations and

processes.

• Solution Design: Develop comprehensive and innovative solutions by mapping customer requirements with

the Finflux product. Propose recommendations to bridge any identified gaps or customization needs.

• Requirement Prioritization: Work closely with product managers to prioritize customer requirements based

on business impact, feasibility, and strategic goals. Participate in backlog grooming and sprint planning

sessions.

• Documentation: Prepare detailed requirement specifications, solution design documents, functional

specifications, and process flows to clearly articulate the proposed solutions to internal stakeholders and

customers.

• Stakeholder Communication: Act as a liaison between customers and internal teams, including development,

implementation, and support teams. Ensure effective communication and alignment of objectives throughout

the onboarding process.

• Project Management: Manage multiple client onboarding projects simultaneously. Develop project plans,

monitor progress, and ensure timely delivery of solutions within agreed-upon timelines.

• Collaboration: Collaborate closely with cross-functional teams, including product managers, development,

and implementation teams, to implement identified gaps and customization requirements. Participate in agile

ceremonies and provide input on solution implementation.

• Training and Support: Conduct training sessions and workshops for customers to familiarize them with the

Finflux product and its functionalities. Provide ongoing support during the onboarding process and address

any inquiries or issues raised by customers.

Required Skills:

• Experience: Minimum of 5 years of experience as a Business Analyst, Solution Architect, or similar role in

the software industry, preferably working with SaaS solutions or lending platforms.

• Domain Knowledge: Strong understanding of lending operations, loan management processes, and

regulatory requirements in the financial industry. Familiarity with financial institutes, NBFCs, Fintechs, or

banks is highly desirable.

• Technical Aptitude: Ability to grasp complex software solutions quickly and effectively. Prior experience

working with loan management systems, loan origination systems, business rules engines, or delinquency

management systems will be advantageous.

• Analytical Skills: Proficient in analysing business processes, identifying gaps, and proposing practical and

efficient solutions. Strong problem-solving abilities and attention to detail are essential.

• Communication: Excellent written and verbal communication skills. Ability to articulate complex ideas and

concepts to both technical and non-technical stakeholders. Active listening skills to understand customer

requirements thoroughly.

• Project Management: Proven experience in managing multiple projects concurrently, prioritizing tasks, and

meeting deadlines. Ability to adapt to changing project requirements and work in a fast-paced, dynamic

environment.

• Collaboration: Strong team player with the ability to collaborate effectively with cross functional teams and

build relationships with customers. Customer-centric mindset with a focus on delivering.