District Sales Manager

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.

Night shift

ONSITE at programming office except Gurugram, Chennai

Need Candidate with good Comm Skills

Exp required - 8 Years 

Salary: 22 - 24 LPA

We are looking for a highly skilled Frontend Developer with strong expertise in Angular (latest version) and hands-on experience in UI/UX design tools such as Figma and Adobe XD. The ideal candidate will be responsible for developing modern, responsive, and high-performance web applications while also contributing to the design and user experience process.

Key Responsibilities:

· Develop, optimize, and maintain web applications using Angular (latest versions).

· Collaborate with designers to translate wireframes and mockups from Figma or Adobe XD into responsive, pixel-perfect web interfaces.

· Implement reusable components, services, and modules following best practices.

· Ensure cross-browser compatibility, responsiveness, and high performance of applications.

· Work closely with product managers, designers, and backend developers to deliver seamless user experiences.

· Optimize application performance and troubleshoot issues.

· Stay up to date with the latest trends in Angular, UI/UX design, and front-end development.

Required Skills & Qualifications:

· Strong proficiency in Angular (latest version) and TypeScript.

· Solid understanding of HTML5, CSS3, SCSS, and JavaScript/ES6+.

· Experience in UI/UX design tools: Figma and Adobe XD.

· Knowledge of responsive design principles and best practices.

· Familiarity with RESTful APIs and integration with front-end applications.

· Good understanding of version control systems (Git).

· Strong problem-solving and debugging skills.

· Excellent communication and collaboration abilities.

Preferred Qualifications (Good to Have):

· Experience with Angular Material, Bootstrap, or Tailwind CSS.

· Knowledge of Agile methodologies.

· Exposure to unit testing frameworks (Jasmine, Karma, Jest).

· Understanding of UI accessibility (WCAG) guidelines.

Experience Required:

· 8+ years of experience in Angular development.

· Hands-on experience in creating UI designs using Figma and Adobe XD.

Position:  React/Frontend Developer

Location: Chennai and Exp : 3 to 5 Yrs

We are looking for a great JavaScript developer who is proficient with React.js or VueJs. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Monitoring and improving front-end performance.
• Troubleshooting interface software and debugging application codes.
• Documenting application changes and developing updates.

Skills

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Should have recent experience with React projects (min. 2 years)
• Experience in VueJs is an added advantage
• Familiarity with newer specifications of EcmaScript
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with code versioning tools. 

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India

Key Responsibilities

• Analyze and understand business processes and requirements to develop effective technical solutions.

• Assist in the planning, designing, development, of new applications and enhancements to existing applications.

• Collaborate with IT team members, decision makers, systems owners, and end users to define business requirements and systems goals, and identify and resolve business systems issues.

• Prepare functional specification documents in accordance to new business requirements.

• Ensure compatibility and interoperability of business software applications.

• Review and analyze the effectiveness and efficiency of existing systems and develop strategies for improving or further leveraging these systems.

• Assist in the deployment of new applications and enhancements to existing applications.

• Identify, assess, and recommend software solutions and implementation partners to management.

• Perform cost-benefit and return on investment analyses for proposed systems to aid management in making implementation decisions.

• Participate and sometimes drive IT projects to ensure that system requirements and data engineering needs are addressed throughout the project life cycle.

• Create systems models including integration points, specifications, diagrams, and charts to provide direction to internal stakeholders and third parties.

• Coordinate and perform in-depth tests, including end-user reviews, for modified and new systems.

• Provide orientation and training to end users for all modified and new systems.

Qualifications & Experience

• Minimum Bachelor’s degree in Information Technology, Computer Science, or related field.

• Minimum of 5 years of experience in related fields with 3 to 4 years in systems and/or functional analysis.

• Proven experience in analysing, designing, and implementing information systems.

• Strong understanding of business processes and technical systems.

• Hands-on skills in SQL and databases (e.g. Oracle, SQL Server).

Other Prerequisites

• Excellent problem-solving skills and the ability to work under pressure. • Good project management skills.

• Excellent written and oral communication and interpersonal skills.

• Ability to conduct research into systems issues and products as required.

• Ability to communicate ideas in both technical and user-friendly language.

• Highly self motivated and directed.

• Keen attention to detail.

• Proven analytical and creative problem-solving abilities.

• Strong customer service orientation.

• Experience working in a team-oriented, collaborative environment

Job Responsibilities: 

• Builds business by identifying and selling prospects; maintaining relationships with clients. 
• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options. 
• Sells products by establishing contact and developing relationships with prospects; recommending solutions. 
• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements. 
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors. 
• Prepares reports by collecting, analyzing, and summarizing information. 
• Maintains quality service by establishing and enforcing organization standards. 
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. 
• Contributes to team effort by accomplishing related results as needed. 

Working Conditions: 

• Sales engineers will drive the sales growth from their respective zones (it may be Bangalore/Chennai). 
• Work timings are from 9:30 AM to 07: 30 PM with suitable time offs for lunch and snacks. (Monday to Friday) 
• Travelling to prospective clients may be required for demo/trial as and when required. 

Roles and Responsibilities

• Build talent pipelines for current and future job openings
• Lead all sourcing strategies
• Manage our external partnerships with colleges, job boards and HR software vendors
• Implement online and offline employer branding activities
• Prepare and review our annual recruitment budget
• Oversee all stages of candidate experience (including application, interviews and communication)
• Forecast hiring needs based on business growth plans
• Manage, train and evaluate our team of recruiters
• Participate in and host recruitment events to drive awareness of our company
• Develop a network of potential future hires (e.g. past applicants and referred candidates)
• Measure key recruitment metrics, like source of hire and time-to-hire

Desired Candidate Profile

• Proven work experience as a Talent Acquisition Specialist or similar role
• Demonstrable experience managing full-cycle recruiting and employer branding initiatives
• Solid understanding of sourcing techniques and tools (e.g. social networks)
• Hands-on experience with Applicant Tracking Systems (ATSs) and HR databases
• Good team-management abilities
• Excellent communication skills with the ability to foster long-term relationships (with internal teams, external partners and candidates)
• BSc/MSc in Human Resources Management or relevant field

What will you do?

• You will be responsible for the design and development of large-scale, multi-tenant, distributed systems using scalable, fault-tolerant architecture with distributed queues (kafka), distributed caches (redis), high volume data stores (MongoDB, Cassandra, elasticsearch), container-centric deployments (kubernetes).
• Write Java codes using best practices with high quality standards.
• Participate in code reviews and deep dive into design discussions.