Tools Architect at Acquires and scales enterprise software companies · Remote only · 8 - 15 years · ₹40L - ₹80L / yr · Remote only · Posted 20 Oct 2026

Hands-on plugin and extension engineering (Ruby on Rails first), and agentic AI implementation. Please apply only if you have worked with Ruby on rails along with redmine, odoo.
Responsibilities
- Design agent-operable surfaces on each tool: typed, secure APIs, Model Context Protocol (MCP) servers, and webhook-driven automation
- Architect and build Redmine plugins in Ruby on Rails, Odoo modules, and GitHub Apps/Actions
- Engineer enhancements to be upgrade-safe across product versions
Required Qualifications
- 10+ years in software engineering, business-systems architecture, or platform engineering, with deep SME knowledge of operational tools such as Odoo, Redmine, GitHub, or comparable ERP/ITSM/DevOps platforms
- Expert-level proficiency in Ruby on Rails, including production experience building or maintaining Redmine plugins or comparable Rails-based extensions
- Strong command of business processes across delivery, support, and operations
- Practical agentic development experience: MCP, LLM tooling, AI-assisted automation, or agent-orchestrated workflows in production
- Proven track record building plugins, modules, and extensions that survive product version upgrades, with disciplined API and integration design

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Core Responsibilities
Operational Tools Architecture & Feature Planning
- Own the feature roadmap for operational tools — Odoo, Redmine, GitHub, and adjacent systems — from business-process discovery through design, planning, and phased delivery
- Serve as the subject-matter expert on how business processes (deal onboarding, delivery, support, finance, engineering operations) map onto tool capabilities, and where the gaps are
- Design cross-tool workflows and integrations so that work items, code, and business records flow between systems as one coherent operational fabric
Agentic Implementation & Modernization
- Design agent-operable surfaces on each tool: typed, secure APIs, Model Context Protocol (MCP) servers, and webhook-driven automation that let AI agents read, create, and resolve operational work safely
- Lead incremental modernization of legacy tool deployments — upgrading versions, retiring brittle customizations, and replacing manual processes with agentic workflows without disrupting live operations
- Optimize agentic loops that operate on the tools for cost, speed, and integrity, with guardrails, audit trails, and human-in-the-loop checkpoints where they matter
Plugin & Extension Engineering
- Architect and build Redmine plugins in Ruby on Rails, Odoo modules, and GitHub Apps/Actions that extend the products cleanly rather than forking them
- Engineer enhancements to be upgrade-safe across product versions — tracking upstream releases, isolating customizations behind stable interfaces, and planning migration paths
- Prioritize contract-first API design between human intent, agent execution, and the underlying tools
Governance & Quality Control
- Act as the architectural reviewer for changes to Central tooling, including AI-generated pull requests and agent-authored configuration
- Mandate testing and characterization coverage around customizations so upgrades and agentic changes land deterministically
- Establish operational standards — access, data integrity, observability — for agents acting inside business-critical systems
Required Qualifications
- 10+ years in software engineering, business-systems architecture, or platform engineering, with deep SME knowledge of operational tools such as Odoo, Redmine, GitHub, or comparable ERP/ITSM/DevOps platforms
- Expert-level proficiency in Ruby on Rails, including production experience building or maintaining Redmine plugins or comparable Rails-based extensions
- Strong command of business processes across delivery, support, and operations — able to translate how a business runs into how a tool should behave
- Practical agentic development experience: MCP, LLM tooling, AI-assisted automation, or agent-orchestrated workflows in production
- Proven track record building plugins, modules, and extensions that survive product version upgrades, with disciplined API and integration design
- Commitment to clean, tested, production-grade systems — including when the author of the code is an agent
Preferred Qualifications
- Python and Odoo module development experience; PostgreSQL fluency
- Experience modernizing or migrating legacy tool deployments across major versions
- Background in SaaS transformation, scale-up, or PE-backed environments

Mus have expereince in Odoo , Redmine aand ROR
- 10+ years in software engineering, business-systems architecture, or platform engineering, with deep SME knowledge of operational tools such as Odoo, Redmine, GitHub, or comparable ERP/ITSM/DevOps platforms
- Expert-level proficiency in Ruby on Rails, including production experience building or maintaining Redmine plugins or comparable Rails-based extensions
- Strong command of business processes across delivery, support, and operations — able to translate how a business runs into how a tool should behave
- Practical agentic development experience: MCP, LLM tooling, AI-assisted automation, or agent-orchestrated workflows in production
- Proven track record building plugins, modules, and extensions that survive product version upgrades, with disciplined API and integration design
- Commitment to clean, tested, production-grade systems — including when the author of the code is an agent
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Experience Level
The Staff Software Craftsperson is a technical leadership role equivalent to an SDE-4/SDE-5. We are looking for seasoned engineers with 8+ years of hands-on experience who have transitioned from building great software to shaping the engineering culture and technical strategy of an entire organization.
As a Staff-level crafter, your focus shifts from solving well-defined problems to identifying and solving the most complex, ambiguous technical challenges that impact our clients and our internal engineering standards.
What You’ll Do as a Software Craftsperson
Technical Vision & Architecture: Lead the architectural direction for complex, large-scale systems. You will balance the immediate needs of the business with long-term system health, ensuring our solutions remain simple, scalable, and resilient.
Engineering Excellence at Scale: Champion disciplined engineering practices (TDD, Pair Programming, CI/CD) across multiple teams. You don’t just follow the bar; you raise it by introducing better patterns and tooling.
AI Strategy & Mentorship: Drive our AI-native development model. You will experiment with and define how we use AI to accelerate the SDLC, ensuring the team uses these tools to enhance—rather than replace—deep technical judgment.
Cross-Team Leadership: Act as a force multiplier. You will mentor senior engineers, conduct high-impact code reviews, and foster a culture of continuous learning and craftsmanship.
Strategic Client Partnership: Work as a technical consultant for high-stakes client engagements, translating vague business goals into robust technical roadmaps and navigating complex stakeholder environments.
Systemic Problem Solving: Beyond resolving production issues, you identify "class-level" problems in our infrastructure or codebase and implement systemic changes to eliminate them permanently.
Requirements
What We're looking for
8+ years of experience building and maintaining high-scale production systems.
Mastery of Fundamentals: Expert-level understanding of object-oriented design, functional programming, and system architecture (Microservices, Event-driven, etc.).
Polyglot Mindset: High proficiency in Ruby on Rails and React/Angular, with the proven ability to architect solutions across multiple tech stacks (Python, Go, etc.) as needed.
Influence without Authority: Demonstrated ability to lead through persuasion and technical excellence rather than just hierarchy.
Advanced AI Collaboration: Deep experience integrating AI into a professional workflow to explore architecture, automate toil, and peer-review logic.
Proven Ownership: A track record of taking a project from a nebulous idea to a successful, maintained production system.
Communication: Exceptional ability to explain complex technical trade-offs to non-technical stakeholders and executive leadership.
Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions.
A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
Dedicated learning & development budget.
Sponsorship for conference talks.
Comprehensive medical & term insurance.
Employee-friendly leave policies.
Home Office fund
Medical Insurance
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Experience Level
This role is ideal for engineers with total 5+ years of experience with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
What You’ll Do as a Software Craftsperson
- Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming
- Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality.
- Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production
- Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems
- Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback
- Investigate and resolve production issues, and implement systemic improvements to prevent recurrence
- Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions
- Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering
Requirements
What You’ll Bring
- 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability)
- Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD
- Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability
- Proficiency in one or more modern technologies Python, React, AI, JavaScript, or TypeScript, with the ability to learn new technologies quickly
- Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality
- Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability
- Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions
- A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Benefits
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
Position Overview
We are seeking a versatile Senior Full Stack & AI Agent Developer to architect, build, and
maintain end-to-end software solutions spanning web platforms, desktop applications, and
autonomous AI agents capable of interacting with and controlling these software systems.
The ideal candidate will bridge traditional engineering software with cutting-edge artificial
intelligence to automate data processing and enhance operational decision-making. While
not strictly required, a background or strong interest in the energy sector—specifically
drilling and completion operations—is highly desirable.
Key Responsibilities
• Full Stack Development: Design, develop, and deploy robust web applications and
native desktop software utilized by engineering and operational teams.
• AI Agent Engineering: Build, train, and integrate autonomous AI agents and LLM-
driven workflows capable of interpreting data, executing commands, and safely
controlling desktop and web-based software.
• Workflow Automation: Translate complex workflows into intuitive software features
and autonomous agent actions, minimizing manual data entry and operational
bottlenecks.
• Data Integration: Handle high-frequency data streams and integrate them seamlessly
into user interfaces and backend AI models.
• Architecture & Scalability: Ensure high performance, security, and scalability across
cloud infrastructure (AWS/Azure), local desktop environments, and potential edge
computing setups.
• Cross-Functional Collaboration: Work closely with domain experts and end-users to
translate field challenges into technical product requirements.
Required Qualifications & Experience
• Experience: Minimum of 5 years of professional software development experience,
with a proven track record of delivering production-ready web and desktop
applications.
• Programming Languages: Strong proficiency in Python, JavaScript/TypeScript, and at
least one compiled language (C#, C++, or Java).• Web & Desktop Frameworks: Hands-on experience with modern frontend
frameworks (React, Angular, or Vue.js), Node.js, and desktop application development
(Electron, WPF, Qt, or Tauri).
• AI & Agent Tooling: Demonstrated experience building AI agents using LLM APIs
(OpenAI, Anthropic), open-source models (Hugging Face), LangChain, LlamaIndex,
AutoGPT, or custom agent architectures.
• Automation & UI Control: Expertise in software control mechanisms using tools like
Selenium, Playwright, PyAutoGUI, Appium, or computer vision-based GUI automation to
allow AI agents to navigate software.
• Cloud, DevOps & Databases: Experience with Git, Docker, CI/CD pipelines, cloud
platforms (AWS/Azure/GCP), RESTful APIs, GraphQL, and relational/NoSQL databases.
Preferred Qualifications (Strong Plus)
• Industry Domain Expertise: Prior hands-on development experience within the oil and
gas sector, specifically focused on drilling, completions, rig operations, or subsurface
engineering software.
• Data & Protocols: Familiarity with oilfield data standards (e.g., WITSML, OPC-UA) and
time-series databases.
• Experience deploying AI models and agents in edge or low-connectivity environments
(such as offshore rigs or remote drilling sites).
• Familiarity with safety-critical software design and cybersecurity standards in
industrial control systems (ICS/SCADA).
• Degree in Computer Science, Software Engineering, Petroleum Engineering, or a related technical discipline.
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Role Overview
As a Software Craftsperson I, you will have 2+ years or experience and will work on well-defined tasks as part of a team, building strong software engineering fundamentals and gradually increasing your independence.
You’ll work closely with experienced engineers, ask questions, seek feedback, and learn the team’s ways of working. You’ll contribute to building reliable, maintainable software while developing your skills in coding, testing, debugging, tooling, and documentation.
At Incubyte, AI is part of how we craft software. You’ll use AI to explore solutions, learn faster, improve code, write and review tests, debug issues, and get quick feedback — while developing a strong understanding of the fundamentals behind the work.
Responsibilities
Responsibilities
Deliver well-defined tasks on time, with increasing independence and support from experienced engineers when needed.
Write clear, reliable, and maintainable code by following established team patterns and practices.
Build strong fundamentals in testing, debugging, tooling, and documentation.
Actively seek feedback, learn from code reviews and peers, and apply feedback to improve your work.
Ask questions, understand the “why” behind tasks, and connect your work to customer value.
Communicate clearly about progress, blockers, and challenges; raise problems along with possible solutions.
Contribute positively to team ceremonies, collaboration, and continuous small improvements.
Use AI thoughtfully to support learning, coding, testing, debugging, and faster feedback.
Requirements
What We're Looking For
Expertise in Ruby on Rails, Test Driven Development, React, React.js or JavaScript, and TypeScript
Strong skills in object-oriented programming, data structures, algorithms, and software engineering methodologies
Ability to design and develop web architecture and optimize existing infrastructure
Experience working in Agile and eXtreme Programming methodologies within a continuous deployment environment
Interest in mastering technologies like web server ecosystems, relational DBMS, TDD, CI/CD tools
Knowledge of server configuration and deployment infrastructure
Experience using source control, bug tracking systems, writing user stories, and technical documentation
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
Dedicated learning & development budget.
Sponsorship for conference talks.
Comprehensive medical & term insurance.
Employee-friendly leave policies.
Home Office fund
Medical Insurance
Role
Build core software for an on-device agentic AI platform. The work includes agent orchestration,
local model integration, tool and service execution, context management, secure automation, and
integration with third-party services.
Responsibilities
• Design and implement agent runtimes, routing, tool calling, state management, and recovery.
• Integrate local language and code models using structured outputs and function calling.
• Integrate third-party APIs and SDKs with authentication, validation, and error handling.
• Develop workflow orchestration, context management, and short- and long-term memory
components.
• Implement secure automation with sandboxing, approvals, verification, and rollback.
• Create logs, traces, tests, and evaluation harnesses for reliable production deployment.
• Optimize latency, memory use, model selection, and runtime performance for PC hardware.
• Translate product scenarios into clear technical requirements.
Required Qualifications
• BS/MS in Computer Science, Computer Engineering, or a related field.
• 5+ years of professional software engineering experience.
• Strong C# and .NET development skills.
• Experience building agentic applications, workflow engines, automation systems, or tool-
calling software.
• Experience integrating LLMs or small language models with structured outputs and function
calling.
• Experience integrating third-party APIs, SDKs, and services into production software.
• Strong knowledge of asynchronous programming, concurrency, state machines, and fault
handling.
• Experience with Windows application, service, or systems development.
• Strong software testing, debugging, and production engineering practices.
Preferred Qualifications
• On-device inference using ONNX Runtime, Windows ML, DirectML, OpenVINO,
llama.cpp, or similar runtimes.
• Model quantization, hardware acceleration, memory profiling, and performance optimization.
• Agent frameworks and protocols such as Semantic Kernel, AutoGen, LangGraph, or MCP.
• Windows automation using PowerShell, Win32/WinRT, Task Scheduler, UI Automation, or
Playwright.
• Knowledge graphs, ontologies, vector retrieval, or hybrid agent-memory systems.
• Sandboxing, least-privilege security, prompt-injection defenses, secrets management, and
audit logging.
• Automated evaluation, telemetry, diagnostics, and hardware-in-the-loop testing.
Technical Skills
Required
• C# / .NET
• Agent orchestration and tool calling
• Third-party API and SDK integration
• Asynchronous programming • Windows development
• State machines / workflows
• Authentication and permissions
• Automated testing
• Secure software design
Preferred
• ONNX Runtime / Windows ML / DirectML
• Semantic Kernel / AutoGen / LangGraph
• MCP
• PowerShell / Win32 / WinRT • Knowledge graphs / vector retrieval
• Telemetry / diagnostics
• Sandboxing / policy controls
• Model optimization
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Experience Level
This role is ideal for engineers with total 3+ years of experience with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
What You’ll Do as a Software Craftsperson
- Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming
- Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality
- Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production
- Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems
- Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback
- Investigate and resolve production issues, and implement systemic improvements to prevent recurrence
- Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions
- Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering
Requirements
What You’ll Bring
- 3+ years of experience building high-quality, production systems (flexible based on demonstrated capability)
- Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD
- Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability
- Proficiency in one or more modern technologies, Python, PHP, JavaScript, or TypeScript, with the ability to learn new technologies quickly
- Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality
- Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability
- Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions
- A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
Strong Lead AI Engineer Profile with agentic systems architecture expertise
2
Mandatory (Experience 1): Must have 6+ years of software or ML engineering, with at least recent 2+ years building and shipping production LLM or agentic AI systems
3
Mandatory (Tech skill 1): Must have hands-on proficiency with at least two agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI), with experience debugging framework internals
4
Mandatory (Tech skill 2): Must have direct SDK experience with Anthropic Claude API (tool use, streaming), OpenAI Assistants API, or Vertex AI Agent Builder
5
Mandatory (Tech skill 3): Must have Python mastery — production-quality code, type annotations, unit and integration tests, packaging, and performance profiling
6
Mandatory (Tech skill 4): Must have RAG pipeline depth — embedding model selection, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, RAGAS or custom evaluation harnesses
7
Mandatory (Tech skill 5): Must have cloud deployment experience with AWS, Azure, or GCP; Docker, Kubernetes, IaC basics (Terraform or CDK), and CI/CD pipelines
8
Mandatory (Tech skill 6): Must have agent observability experience — LangSmith, Helicone, or equivalent — with ability to diagnose latency, cost, and quality issues in production traces
9
Mandatory (Tech skill 8) : Must have owned full sub-system designs — agent topology, data flows, API contracts, failure handling — for a bounded scope, and built multi-agent graphs, tool orchestration, retrieval, and memory systems.
10
Mandatory (Tech skill 7): Must have track record of shipping 2+ agentic or ML systems to production — not just proof-of-concepts — with documented performance benchmarks
11
Mandatory (Communication): Must be able to write crisp component specifications and communicate architectural trade-offs to both engineers and non-technical stakeholders
12
Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month
Required Skills:
- Strong C#/.NET development and experience building Agentic AI applications, workflow engines, automation systems, or tool-calling software.
- LLM/SLM integration with structured outputs and function calling.
- Third-party API/SDK integration.
- Asynchronous programming, concurrency, state machines, and fault handling.
- Windows application, service, or systems development.
- Authentication, permissions, secure software design, automated testing, and debugging.
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related field.
Preferred Skills:
- ONNX Runtime, Windows ML, DirectML, OpenVINO, or llama.cpp.
- Semantic Kernel, AutoGen, LangGraph, or MCP.
- PowerShell, Win32/WinRT, UI Automation, or Playwright.
- Knowledge graphs, vector retrieval, and agent memory.
- Model optimization, telemetry, diagnostics, sandboxing, and security.










