Senior UX Engineer

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.

Strong Software Engineer fullstack profile using NodeJS / Python and React

Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)

Mandatory (Core Skills 1): Must have strong experience in working on Typescript

Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis

Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB

Mandatory (Company) - Product Companies Only

Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies

Mandatory (Note) : This role is a hybrid role (2 days WFO)

Job Title: Senior Software Engineer (6-Month Contract)

Location: Bengaluru

Experience: 8+ Years

Mandatory Skills:

• C++ and C# programming
• Windows system-level programming
• Strong OOP, data structures, algorithms, and design patterns

Desired Skills:

• Knowledge of security fundamentals (authentication, cryptography)
• Familiarity with networking protocols (TCP/IP, TLS/SSL)
• Experience with REST clients and Windows security mechanisms

Responsibilities:

• Design, develop, and maintain Windows-based applications
• Write clean, efficient code and perform code reviews
• Collaborate with team members and communicate effectively
• Contribute to testing strategies and ensure software quality
• Prepare technical documentation and provide project status updates

Soft Skills:

• Self-driven and proactive
• Strong communication and teamwork skills

Contract Duration: 6 months

Job Title: Assistant Manager - Sales - BUILDING AUTOMATION SOLUTIONS

1. Job Overview: The position requires a dynamic Sales and Marketing Engineer with experience in BUILDING AUTOMATION SOLUTIONS Project Sales. The role involves driving sales, building client

relationships, and promoting BUILDING AUTOMATION SOLUTIONS to achieve business objectives.

2. Responsibilities:

Sales and Marketing Strategy:

 Develop and implement comprehensive sales and marketing strategies for BUILDING

AUTOMATION SOLUTIONS.

 Identify and pursue new business opportunities in target markets and industry segments.

 Collaborate with the marketing team to create compelling promotional materials.

Client Engagement:

 Build and maintain strong relationships with existing clients while actively seeking new

partnerships.

 Conduct client needs assessments and propose tailored BUILDING AUTOMATION

SOLUTIONS

 Conduct product demonstrations and presentations to showcase the benefits of offerings.

Technical Expertise:

 Possess in-depth technical knowledge of BUILDING AUTOMATION SOLUTIONS & ELV

systems.

 Provide technical support to clients during pre-sales and post-sales phases.

 Stay abreast of industry trends to position solutions competitively.

Market Analysis:

 Conduct market research to identify industry trends, competitor activities, and market

demands.

 Analyze customer feedback and market dynamics to enhance product offerings.

3. Qualifications:

 Bachelor's degree in Instrumentational / Electronics Engineering, Automation, or a related

field.

 Proven experience in sales and marketing of BUILDING AUTOMATION SOLUTIONS.

 Strong technical understanding of HVAC and BUILDING AUTOMATION SOLUTIONS.

 Excellent communication and presentation skills.

 Results-oriented with a track record of meeting or exceeding sales targets.

4. Key Skills:

 Automation Sales BUILDING AUTOMATION SOLUTIONS/ELV /Project Sales

Additional Skills:

 Automation Products/Project Knowledge.

5. Benefits

 Competitive salary and commission structure.

 Health insurance and other benefits.

 Opportunities for professional development.

Experiences: 8 – 10 years

Salary: As per industry norms

What We’re Looking For:

• Strong experience in Python (5+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing.
• Familiarity with Git and Agile methodologies.
• Familiarity with the Kafka tool (Added Advantage)

Job Title: SAP Trainer – MM, GRC, EWM, HANA

Location: [Coimbatore]

Job Type: Full-time / Freelancer

Experience: Minimum 7-10 years of relevant SAP training or implementation experience

Target Audience: Students (Freshers / Early-career professionals)

We are seeking an experienced SAP Trainer proficient in SAP MM (Materials Management), GRC (Governance, Risk, and Compliance), EWM (Extended Warehouse Management), and HANA to train and mentor students. The ideal candidate will possess deep subject expertise and a passion for teaching, with the ability to simplify complex concepts and deliver interactive, industry-relevant sessions.

We are looking for SAP MM ,EWM, GRC,HANA.

Role Senior Dot Net Developer

Location India, Remote (Work from Anywhere in India)

Minimum Qualification B. Tech. (or equivalent) from an accredited institution

Indicative Experience 5+ years

Domain : Preferably Life-Sciences/Pharma

Customer Profile : Captive research and development pods for a $ 500 million group of pharma data research companies that help patients gain access to life-saving therapies. We help our clients navigate the complexities at each step of the drug development life cycle, from pipeline to patient.

Other benefits Health Insurance, Provident Fund, Life Insurance, Reimbursement of Certification Expenses, Gratuity, 24x7 Health Desk.

Overview:

The Senior .NET Developer plays a crucial role in the organization, responsible for developing, testing, and maintaining high-quality software solutions using .NET technologies. They are essential in ensuring the stability and scalability of our systems, contributing to the overall success of our software products.

Key Responsibilities:

• Designing, coding, and testing software applications using C# and the .NET framework.
• Collaborating with cross-functional teams to analyze user requirements and deliver robust solutions.
• Implementing and maintaining ASP.NET MVC applications, ensuring high performance and responsiveness.
• Developing database structures and queries using SQL Server for data storage and retrieval.
• Integrating front-end elements with server-side logic using JavaScript and other web technologies.
• Utilizing Entity Framework to map and access data from the database.
• Creating and consuming web services using Web API to support system integrations.
• Participating in code reviews, identifying areas for improvement and implementing best practices.
• Resolving technical issues and debugging software to optimize functionality.
• Collaborating with the QA team to perform thorough testing and ensure product quality.
• Keeping abreast of industry trends and technologies to enhance technical capabilities.
• Providing technical guidance and mentorship to junior team members.
• Contributing to the continuous improvement of development processes and methodologies.
• Adhering to project timelines and delivering high-quality code within established deadlines.

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience as a .NET Developer, with a strong portfolio of successful projects.
• Proficiency in C#, .NET Framework, ASP.NET, and MVC for developing web applications.
• Solid understanding of SQL Server and database design principles for efficient data management.
• Experience in client-side scripting using JavaScript, HTML, and CSS.
• Familiarity with Entity Framework for ORM, and Web API for building RESTful services.
• Strong knowledge of software development best practices and design patterns.
• Ability to work collaboratively in a team environment and communicate effectively.
• Excellent problem-solving skills and attention to detail in writing clean, maintainable code.
• Proactive attitude towards learning and applying new technologies to enhance development processes.
• Working knowledge of version control systems, such as Git, for code management.
• Certifications in relevant technologies, such as Microsoft Certified: Azure Developer Associate, are a plus.
• Experience with agile methodologies, such as Scrum or Kanban, for iterative and adaptive development.
• Strong analytical and troubleshooting abilities to identify and resolve complex technical issues.
• Understanding of software security principles and implementation of best practices to safeguard applications.