Adobe Campaign Developer

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.

We are currently looking for a detail-oriented Test Engineer to join our team. The ideal candidate should have expertise in manual testing, along with a basic understanding of Selenium automation testing and Python.

🌏 Job Location: On-Site

What You Will Be Doing

• Perform manual testing on software applications to ensure quality and performance standards are met.
• Create, maintain, and improve test frameworks to ensure comprehensive test coverage.
• Work together with Developers, Product Managers, and other stakeholders to identify and resolve software issues.
• Assist in Test Automation efforts using Selenium and Python scripts.
• Develop end-to-end testing strategies and prepare test plans through the use of quality processes and methodologies.
• Writing and executing test plans for Functional, Regression, Integration, end-to-end performance and user acceptance testing.
• Create comprehensive documentation and communicate extensively with cross-functional teams to deliver a high-quality product.
• Recommend improvements in software to enhance user experience.
• Works together with the team to enhance and improve quality of the Web and Mobile apps.

What You’ll Need

• Min. 3 months of experience as a Test Engineer.
• Good debugging skills and troubleshooting.
• Experience in Manual Testing, Selenium (Basic), Python (Basic).
• Excellent communication and collaboration skills.
• Experience in Functional, Regression, Integration, Performance Testing.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Understanding the Software Development Life Cycle (SDLC), Testing concepts and methodologies.

Benefits

• Competitive salary and performance-based Incentives.
• Working closely with the leadership & an opportunity for an accelerated career growth.
• Opportunities for professional development and career growth.
• Collaborative and dynamic work environment.
• Access to company-sponsored training and resources.

We are looking for a high-energy, results-driven Account Executive to drive B2B sales in global markets. You will manage the sales pipeline, nurture leads, and close deals while working closely with SDRs and senior sales leadership.

Key Responsibilities:

• Lead Generation & Prospecting – Identify and engage with potential clients
• Pipeline & CRM Management – Track sales progress using tools like Salesforce/HubSpot
• Lead Qualification & Outbound Sales – Convert leads into long-term clients
• Collaborate with Sales Team – Work closely with SDRs and Account Managers
• Track & Optimize Sales Campaigns – Ensure consistent revenue growth
• Demo Bookings & Client Engagement – Conduct sales demos and follow up with clients

What We’re Looking For:

• 3-5 years of experience in B2B sales, SaaS, Inside Sales
• Strong expertise in CRM tools (Salesforce/HubSpot) and pipeline management
• Exposure to global/international markets
• Excellent communication & negotiation skills
• Strong organizational & data-driven approach to sales

Job Type: Full-time

Schedule: Morning shift

Ability to commute/relocate: Gachibowli, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Required Skills and Experience:

Proficient in Java (Java 8 and above), with a strong understanding of object-oriented programming.

Knowledge in the trading domain, including familiarity with trading systems and protocols.

Strong skills in SQL and PL/SQL for database management and query optimization.

Hands-on experience with Linux and Windows operating systems for application deployment and maintenance.

Proficiency in scripting languages (e.g., Bash, PowerShell, or similar).

Knowledge of Python programming for auxiliary development and analytics tasks.

Familiarity with multithreading, concurrency, and low-latency application development.

Experience with CI/CD pipelines, version control systems (e.g., Git), and deployment workflows.

• Design and develop innovative, company impacting products and services to support infrastructure operations
• Design, develop and implement object-oriented PHP applications from prototype through implementation
• Integrate open source and commercial enterprise applications into an exposed API and web-based portal
• Create highly scalable and performant REST/SOAP web services
• Keep focus on end users and goals all through the development process
• Work closely with product management and stakeholders to ensure applications meet needs and expectations
• Adhere to the highest levels of technical discipline and excellence to set a standard for the larger development organization

Requirements

• Bachelor's Degree in Computer Science, related field, or comparable extra work experience
• Solid experience with SQL and relation databases
• Solid experience with Object Oriented Design and Development
• Experience Developing API Interfaces
• Experience with version control systems, preferably Git

Beneficial Skills

• Experience with non-relational data stores such as ZooKeeper or Memcache

• Bring in a "can-do" attitude
• Passion towards technology and software engineering - open source, pet projects, conference talks, getting better at writing clean code.
• Participate in a highly fluid environment applying agile software development principles.
• Carry out unit tests and other quality control mechanisms to inform and validate the designs and code
• Work with product owner/BAs to bring an end to end perspective of the problem.
• Ability to ask the right questions and communicate your ideas with clarity.
• Ability to collaborate with various stakeholders and take complete ownership.
• Participate actively in building one of the most impactful organizations in retail technology.

• Quickly adapt to our startup environment which is both demanding and fast-paced (but is also a lot of fun).
• Eager in learning new concepts, technologies and be productive in short time.
• Convert a raw idea into usable real-life software products Write modular, readable and maintainable code.
• Good understanding and working knowledge of technologies worked.
• Demonstrate good problem solving skills
• Own and be able to manage a small to medium sized modules.
• Demonstrate ability to guide and coach a new team member or fresher.

DUKAAN - Create Your Online Store in 30 Seconds

Dukaan is an app that allows offline businesses to sell their products and services online. On our app, the users can make beautiful product catalogues (catalogs) right from a smartphone and share with their customers easily on different social media apps such as Whatsapp Business, Whatsapp, Facebook, Instagram etc. Praised by users all over India, this app has saved declining businesses by helping them transfer their shop online. The journey has just begun and we are on a mission to make India truly Digital.

Dukaan is currently powering over 4.9 M ecommerce stores built by indian small businesses and growing at a crazy rate.  

Dukaan is looking at a QA engineer to join our team and help us ship polished & defect free products to our users. 

QA Engineer Roles & Responsibilities 

Your primary responsibility will be to run various tests from the test-suite on new software releases to ensure that it satisfies all specifications and requirements as well as free from any bugs. 

Once issues have been resolved, You will run additional tests to make sure the issues are resolved before the new release is pushed to production. 

1. Thoroughly testing new releases to find bugs or design issues. 
2. Identifying bugs in new releases and understanding how to resolve them
3. Creating issues for these bugs and with steps on how to re-produce them.
4. Ensuring that new software products are ready for consumer use
5. Working with development teams to prevent issues with new products