Generative AI Forward Deployed Engineer
Python
Amazon Web Services (AWS)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Mactores Cognition Private Limited
About
Mactores is a global technology consulting and product company with focus on delivering solutions on Cloud, Big Data, Deep Analytics, DevOps, IoT & AI
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Redux/FluxJob description
Overview
The infrastructure for regulation-compliant AI. Train and deploy generative AI for the large enterprise.It is the most private solution for enterprise AI. Achieve best-in-class and compliant AI at the fraction of the time and cost. It is an enterprise AI platform that provides state-of-the-art and regulatory-compliant AI for a fraction of the cost. It simplifies model training across privacy-critical datasets using Federated Learning and Differential Privacy.
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Strong proficiency in JavaScript.
Thorough understanding of React.js and its core principles.
Experience with popular React.js workflows (such as Flux or Redux)
Familiarity with newer specifications of Ecma Script.
Familiarity with RESTful APIs.
Knowledge of modern authorization mechanisms, such as JSON Web Token.
Familiarity with modern front-end build pipelines and tools.
Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
Ability to understand business requirements and translate them into technical requirements.
A knack for benchmarking and optimization.
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KubernetesAmazon Web Services (AWS)Job description
Problem Statement-Solution
Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.
One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.
About Koo
Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.
Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.
Since June 2021, Koo is available in Nigeria.
Founding Team
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Technology Team & Culture
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Technology skill sets required for a matching profile
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We are looking for curious, collaborative candidates who are willing to learn and ready to take up new exciting endeavors. You are going to work together with the team on complex innovative projects in the industry. We are basically looking for an enthusiastic candidate with a coding experience of about 10-15 years, with a hands-on experience in Software Product Development and ownership.
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Benefits
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- Cloud Product Company: We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React.
- A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites.
- Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization
- Get a Global Exposure: You get to work and deal with our global customers.
- Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.
About Us
Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users.
Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization.
Start your #CognitiveProcurement journey with us, as you are #MeantforMore
Click here to Apply :
https://apply.workable.com/zycus-1/j/AEF05D1907/">Principal Architect - Zycus (workable.com) - (Mumbai).
https://apply.workable.com/zycus-1/j/AA542A5D66/">Principal Architect - Zycus (workable.com) - (Pune).
- Project Management Experience in managing teams of sizes 10-12 people in multiple domains. Managed international projects in mobile and web.
- Knowledge of UI / UX process
- Knowledge of Cloud Deployments - AWS, Azure, Docker
- Knowledge on creating SRS / Scope Documents, Functional specification, technical architecture and project estimations.
- Knowledge on Mobile Technologies (IOS/Android/Hybrid/Shell apps)
- Hands on experience on working with SOAP and REST web services (XML/JSON)
NodeJS (Node.js)Javascript
MongoDB
Express
HTML/CSS
Android Development
Java
CakePHP
Laravel
PHP
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon