Finance Head

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  

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

We are looking for an experienced Enterprise Cloud Sales Specialist to drive cloud solution sales and support large enterprises in their digital transformation journey.

Key Responsibilities:

• Manage the end-to-end sales cycle for enterprise cloud solutions.
• Build and maintain strong relationships with CIOs, CTOs, and IT leaders.
• Collaborate with solution architects and internal teams to design tailored cloud strategies.
• Achieve and exceed defined sales and growth targets.
• Stay informed about cloud market trends and emerging technologies.

Key Requirements:

• 5+ years of experience in enterprise or cloud solution sales.
• Strong understanding of cloud platforms, hybrid environments, and enterprise IT infrastructure.
• Proven track record in managing complex sales cycles and achieving sales goals.
• Excellent communication, negotiation, and presentation skills.
• Bachelor’s degree in IT, Engineering, or Business; MBA or cloud certifications preferred.

If you are passionate about driving cloud adoption and enabling enterprise transformation, we invite you to apply and be part of our growing team.

Job Title: Practical Coordinator

Location: Mumbai

Employment Type: Full-time, In-Office Work (6 days per week)

Job Description:

• Conduct outbound calls to students who have completed their theory classes to assist them in scheduling their practical training sessions as part of the Personal Training Course.

• Manage incoming requests from students across various communication channels, including phone calls, emails, WhatsApp, and messages, ensuring effective communication and clarity regarding practical training schedules.

• Maintain and update practical scheduling data in Excel and Google Sheets, ensuring accuracy and accessibility for all relevant Stakeholders.

• Generate and distribute scheduling reports for review, tracking, and reference purposes.

If anyone intt then apply through link:-  https://tiny.cc/NGtalent  

Strong Power Bi, Power App and SQL skills,

• Design and build compelling analyses, trending and/or forecasting reports using Microsoft Power BI.

• Design and build apps using power apps and power automate.

• Assist in the publishing of metrics dashboards by identifying, analyzing and interpreting trends or patterns in complex data sets.

• Define BI development objectives by analyzing user requirements while envisioning system features and functionality.

• Translate business needs into technical requirements, clearly communicate probable designs and create prototypes.

• Follow data and reporting performance optimization and tuning best practices.

• Conduct analytical activities of system data.

• Conducts complex data analysis and evaluates intangibles providing management with fact-based information.

• Knowledge of the supply chain domain.

• Proven, effective analytical skills

• Ability to work effectively under time constraints and multitask.

• Ability to work collaboratively across multiple functions and departments within the organization.

“If you can't explain it to a six year old, you don't understand it yourself.” If you live by this statement, you might be the one we are looking for. We at LogiNext believe that Information experience is a big part of the Customer Experience.

LogiNext is looking for a prolific and talented technical content creator to contribute to our vision of delivering the best information experience with great content. Your role will involve understanding the details of and around the product and articulate them in clear, concise and illustrated manner. This role requires a high level of creativity and attention to detail. You must be able to distil complex information into clear, concise text.

You must have a sound experience with Enterprise SaaS products & knack and love for writing, a comprehensive understanding of the technical products, and experience in blogging to achieve business goals.

Responsibilities:

Collaborate with developers, designers, product managers, marketers, subject matter experts and other influencers to obtain an in-depth understanding of the product and the documentation requirements Determine the needs of end users of technical documentation and work closely with technology and business team to make products easier to use. This involves Feature Guides, FAQs, Onboarding Guides, Help Documentation, Troubleshooting Guides, Training Manuals, Release Notes and other documentation Design infographics, develop feature walkthrough videos and other engaging content to impart product knowledge to various stakeholders Audit and update the content regularly to ensure relevance with incremental product feature releases, customer use cases, support issues and other internal developments Execute the Content Calendar by building and delivering on the roadmap set by the management Work closely with the creative teams to represent the content in the most suitable visual format Suggest ways to further improve the quality of the documentation

Requirements:

Bachelor’s/Master’s degree in Computer Science or Information Technology, Arts or Communication 4 to 7 years of experience in technical content writing for SaaS products Exceptional technical writing and editing skills, as well as the ability to adopt the style, tone, and voice of our business' various types of content Demonstrable active presence in online communities such as blogs, discussion forums, LinkedIn articles, Tweets, Quora answers Ability to quickly grasp complex technical concepts and make them easily understandable to users in the form of text, images, videos, infographics Ability to identify issues, challenges, and gaps associated with the content Ability to understand briefs and translate briefs into high-quality product collaterals Passion for technology, communication and strong understanding of the industry and organization’s mission Basic understanding of web technologies and programming languages to publish viral tech blogs Excellent command over written and verbal communication Adept at Multitasking, creative thinking and working independently

Roles and Responsibility

Utilize design tools and processes to create new product design elements Participate in peer reviews of design work to evaluate design techniques and overall success in meeting the compelling user experience objectives Lead the enhancement the current design system containing our re-usable design elements and components, style guide, WCAG compliance standards, and developer instructions Work with team members of all levels to complete daily tasks, share design and development knowledge, follow-up and escalate issues appropriately, and recommend design and process enhancement Take part in user-centered design methods including user research & synthesis, exploration, story-telling, detailed design, journey mapping and prototyping Design and present findings to the business on 2 to 3 actionable items to enhance the customer experience Create and communicate your design and user experience insights to company leaders Document design notes, element construction, development processes, and other supporting materials Manage project plans, feature design and delivery Work alongside a UX Designer to conduct user research into how users work through data entry forms and obtain user feedback on existing designs that will help inform new design improvements

Embedded System Engineer

Working on Embedded programming on the microcontroller, Linux/Android OS development

Working on component sourcing, PCB Design and fabrication

Working on assembly and testing

Working on field deployment and Testing

Skills:

Embedded Systems

C Programming

Must be exceptionally good in Embedded Systems C programming, testing/ debugging and in advanced C concepts

Capable of working in Embedded Systems based projects based on 8 and 32 bit microcontrollers (STM32)

Experience with communication protocols and peripherals like UART, SPI, RTC, Ethernet

Hands on experience in IDE like Keil, AVR Studio, MPLAB

Strong documentation and writing skills

Work Experience

1-3 years preferable, fresher with good embedded system knowledge can also apply

We are an IT Services and Product Development company, headquartered in Bangalore, that develops ERPs, Mobile Apps, and Web-Apps for our clients and customers globally.

Our Engineering team is looking for a Sr. Full-Stack Engineer to join our base in Bangalore, KA. Your key role will be to lead architectural level discussions, define performance upgrades, undertake new initiatives to groom our engineering team and provide valuable insights on all levels. If you are a problem solver with a unique way of thinking from a technology POV, and a great team player, we have the right role for you.

A high level overview of what this role looks like:

Engineering – 50% of time: As a leader, you will be undertaking engineering tasks which are complex in nature and also work on big modules and define the architectural layouts, both on Application, API and Database level.

Problem Solver - 30% of time: Be a Problem Solver, help our Engineering team to come up with a new solution that makes our applications - scalable, high in performance, reliable, and secure. This includes having ability to drive engagement on Engineering and also from DevOps Point of View.

Training & Improvements – 20% of time: Groom our Engineering Team, provide training, valuable insights and knowledge transfers (KT)  based on your years of experience building apps, products and delivering projects and working with different clients and teams.

What you bring to the table:

• Experience in independently managing, End-to-End Implementation, Design and Development of IT Projects and Products (Apps and Web-Apps)
• Experience converting Business Cases to Technology case and Building Products from scratch
• Experience in Training team and grooming them, undertaking managerial tasks such as Quarterly Skills Meeting, and Profile Evaluation, GAP Analysis
• Experience in Providing inputs to Project Budgeting, Efforts Estimations (EE), Technology Decks,
• Experience in Writing Test Cases and Managing UAT and Deployment Cycle (Automation Testing)
• Working with Client to understand provide Consulting or Business Solutions, Problem Solving Approach and Skills, Strong Analytical Skills, should be able to read between the lines
• Interacting with the Technical/Engineering team to ensure Delivery and Implementation of the Software Solution/Projects
• Client Relationship Management, Excellent at English Speaking, and Written Communication
• Understanding of Change Management, Risk Management and Project Management
• Experience working with US Clients is a Must
• Experience and Exposure working with different projects and business models will be an advantage
• Understanding of Blockchain, Healthcare, HIPAA Compliances, RPA, Payments Services, DevOps will be an asset

Must have skills:

• Excellent Written and Oral Communication Skills and Etiquettes
• Excellent Presentation Skills
• Experience in working with Onshore and Offshore Teams and Experience handling Cross-Functional Projects, Resources and Clients and ability to provide inputs to improving ODCs (Off-shore development centres)
• Experience dealing with Pressure and Meeting strict Project Deadlines
• Leadership and Motivational Skills to ensure the Work is being done by the Resources on time and within the specified budget
• Experience in handling Conflict and Resolution Management

Qualifications:

• 8 -12 years of overall experience
• Experience of working on Mobile & Web Applications (across Android & iOS)
• Strong understanding of Java & MERN/ MEAN stack - Angular/Node/React/ Vue
• Ability to create APIs in REST, and GraphQL understanding of JSON, XML, Websockets, SOAP, COBRA
• Good to have experience of Office 365 - SharePoint and ASP.Net
• Understanding of Database: MySQL, MongoDB, Oracle, PostGres
• Understanding of Project Management: Agile/Scrum, Waterfall both is fine
• Previous experience of working in FinTech, eCommerce, Enterprise Projects, C2C, B2C, B2B Apps will be an added advantage