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Implementation engineer
Implementation engineer

Implementation engineer at Ecotheta · Daman, Mumbai, Bengaluru (Bangalore), Delhi, Gurugram, Noida, Ghaziabad, Faridabad · 3 - 6 years · ₹5L - ₹20L / yr · Bootstrapped · Posted 10 Sep 2026

Ecotheta's logo

Implementation engineer

Jinish C's profile picture
Posted by Jinish C
3 - 6 yrs
₹5L - ₹20L / yr
Daman, Mumbai, Bengaluru (Bangalore), Delhi, Gurugram, Noida, Ghaziabad, Faridabad
Skills
Software impl
Software engineering

End to end implementation of a B2B system. The role requires working with the clients who have been onboarded and see through the implementation of the system. Familiarity with python based frameworks like Frappe is desirable but not mandatory.

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About Ecotheta

Founded :
2026
Type :
Services
Size :
0-20
Stage :
Bootstrapped

About

Ecotheta — the Climate Compliance

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Candid answers by the company

What is the location preference of jobs?

Mumbai, NCR and industrial hubs

Company social profiles

N/A

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Be the dedicated engineer for one of our clients. Learn their business, find what to automate, and build it.

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A working product and a working deployment are two different things. You are the person who closes that gap.

You sit inside the client's head office. You get the deployment live, you get their teams using the dashboards, and you own whether the AI is returning something worth acting on. Every client is different: different languages on the floor, different store noise, different vocabulary for the same product, different CRM, different idea of what a good conversation looks like. The core platform does not change for each of them. You are the layer that makes it fit, and you are the one the client meets.

You are encouraged to spend time in stores. The engineers who do the best work here are the ones who have stood on a shop floor and watched where the pitch and the pipeline actually break. Nobody will make you go. You will also spend real time in the codebase, because you fix what you find rather than filing it.

What you build has a commercial edge to it. A pilot converts when the client sees the result they were promised, and an account grows when a second team inside it sees what is already sitting in their data. Both of those outcomes are yours to deliver, not somebody else's to chase.


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You design the deployment, you build it, and you own whether it holds up on a Saturday evening in a crowded store. Nobody hands you the plan, and nobody hands you the spec. You write both.

The decisions are yours. Which integration is worth the week, which vertical taxonomy needs building, what ships in the pilot and what waits, and when to tell a client that the thing they are asking for is the wrong thing to build. You go and find out what a client needs before anyone writes a line of code.

You will not be doing it alone. There are founders, AI engineers and product people around you, and they will build alongside you. What nobody will do is tell you what the client needs. That call is yours.

The work compounds if you do it well. What you learn on one deployment becomes a specification, then code, then a pattern the next one starts from. A year in, the deployments you designed should be running without you, and a new client should take a fraction of the time the first one did.


What you will do

Own the deployment end to end. Device provisioning, store connectivity, data flowing, first insight in front of the client. Get from kickoff to something real inside

the pilot window, and know by the halfway mark whether it is in trouble.

Get their HQ using it. A dashboard nobody opens is a failed deployment. Sit with the sales, marketing and L&D teams, show them what is in their own data, and

make sure the people who asked for this are actually looking at it every week.

Make the AI work on their floor. Their languages, their store noise, their product vocabulary. Benchmark transcription and speaker separation on their actual

audio, and fix what fails instead of explaining it away.

Build the vertical. Intent taxonomies, objection maps and prompt libraries for the category you are deployed into. A jewellery floor and an electronics floor do not

share a conversation model.

Wire it into their systems. CRM and POS integrations, so conversation data connects to what actually got sold and the insight can be checked against reality.

Build what the client asks for. Custom reports, dashboards and agents. Ground everything in source conversations and verify it before it ships, because a confident

wrong number costs an account.

Close the pilot. A pilot converts on results, not on effort. Know what the client agreed to judge this on, work backwards from it, and make sure the output in front of

their leadership at the end is the thing they asked for.

Grow the account. The same intelligence is worth something to marketing, L&D and category teams inside the same client. Spot which of them would benefit, show them what is already in their data, and hand a real opening to the account team.

Push it back into the product. Turn one-off client work into something the platform does by default, so the next deployment starts further ahead than this one did.


What we are looking for

Must have

  • 0 to 5 years of experience. A consulting internship or an analyst role is the closest match to what this job actually asks for, but we care more about what you can do than where you did it
  • Coding ability, ideally Python. Degree, internship, first job or your own projects. What we want to see is something you built that other people actually used
  • Excel or Sheets at a real working level. A lot of the first conversation with a client happens in a spreadsheet before it ever happens in a dashboard
  • The ability to explain a complicated idea simply. You will be taking AI output to people who do not think about models, and the explanation matters as much as the result
  • Comfort at the boundaries. APIs, data pipelines, some frontend, some hardware when a device misbehaves
  • An eye for where a deployment turns into more business, and the willingness to raise it yourself
  • Heavy hands-on LLM usage. Prompts, evaluations, retrieval, and a clear view on where these tools break
  • Fluent English and Hindi. A third Indian language counts for a lot, since the useful conversations happen on store floors and not only in HQ meeting rooms
  • The instinct to go and find out what a client needs rather than waiting to be told

Good to have

Speech or audio work. Transcription, diarization, voice activity detection, or

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Embedded or IoT experience, on ESP32 or similar

SQL and experience building things customers actually look at

Side projects, hackathons or internships where you shipped without a spec

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Remote only
3 - 6 yrs
Best in industry
skill iconPython
TypeScript
Artificial Intelligence (AI)
skill iconReact.js

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.


This is a remote position.


Experience Level


This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.


We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.




What You’ll Do as a Software Craftsperson


•     Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.


•     Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.


•     Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.


•     Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.


•     Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.


•     Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.


•     Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.


•     Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.




Requirements

What You’ll Bring


3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.


Must-Have Skills


•     Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.


•     TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.


•     Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.


•     Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.


•     Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.


•     Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.


Good-to-Have Skills


•     AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.


•     LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.


•     Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.


•     Vector databases and observability tooling: exposure to tools like Pinecone, PgVector, Qdrant, LangSmith, or DeepEval.


•     Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.




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: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. 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

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Bengaluru (Bangalore)
0 - 2 yrs
₹3L - ₹5.5L / yr
Python, JavaScript/TypeScript, Java
APIs, databases, Git and Linux.

The Opportunity 

We are building the next generation of engineers at AvancerPI. You will work on real enterprise products and automation rather than isolated training assignments. Depending on your strengths, you may contribute to frontend, backend, APIs, automation, integrations, cloud-native engineering or AI-assisted capabilities. 


What You’ll Work On 

  • Modern web applications and customer-facing product experiences. 
  • Backend services and REST APIs. 
  • Python-based automation and platform integrations. 
  • Databases, data models and application state. 
  • Terraform and Ansible based infrastructure automation. 
  • Containers and Kubernetes-based applications. 
  • Integration with enterprise infrastructure and cloud APIs. 
  • AI/LLM, RAG and agentic workflows where they solve a real product or operational problem. 
  • Testing, debugging, Git workflows and CI/CD. 
  • Product features used by enterprise customers and internal engineering teams. 


What We’re Looking For 

  • BE/BTech/MCA or equivalent technical education. 
  • Strong programming fundamentals and problem-solving ability. 
  • Working knowledge of at least one language such as Python, JavaScript/TypeScript, Java or similar. 
  • Basic understanding of APIs, databases, Git and Linux. 
  • Curiosity about cloud, infrastructure, automation, Kubernetes and AI. 
  • Ability to learn unfamiliar technologies independently and ask good technical questions. 
  • Evidence that you build things: academic projects, GitHub work, internships, hackathons or personal projects. 


What Matters More Than a Long Skills List 

Fundamentals + curiosity + learning speed + ownership + ability to turn an idea into working software. 


What You Can Expect to Learn 

  • How enterprise products are designed, built, tested and released. 
  • How software interacts with infrastructure, cloud and Kubernetes platforms. 
  • How to write maintainable code and participate in design/code reviews. 
  • How customer problems become product requirements and engineering decisions. 


For more information about the company, you can visit our website: https://avancerpi.com/about/


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Anurag B
Posted by Anurag B
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)
2 - 7 yrs
₹6L - ₹12L / yr
skill iconPython
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Systems design
Microservices
skill iconJavascript

Software Development Engineer

📍 Bangalore (On-site) · Reporting to the CTO · 2–7 years experience


We're hiring a Software Development Engineer to build the systems that keep real-world operations running - from customer-facing products to the internal tools field teams rely on every morning. If you want your code to matter to people standing in a warehouse or walking a route, not just to a dashboard, read on.


What you'll do

  • Design, build, and ship across the stack: backend services, APIs, mobile and web field apps, and operational dashboards
  • Build the systems that run daily operations: deployment, attendance, check-in/check-out, work verification, and issue resolution
  • Make products work where the network doesn't — offline-first and vernacular-first experiences built for field-heavy, low-connectivity conditions
  • Own features end to end, from design discussions to deployment to on-call
  • Work shoulder to shoulder with Product, Ops, and field users to solve what's actually happening on the ground
  • Contribute to the data pipelines and analytics that power planning, forecasting, and unit economics

What we're looking for

  • 2–7 years building and shipping production software
  • Comfortable across the stack, or deep in one area and eager to stretch
  • A strong ownership mindset — you ship, you debug production issues at odd hours, and you care whether it actually works for the user
  • Pragmatic with trade-offs, able to balance speed against quality without losing either
  • Bonus: experience building for low-bandwidth, offline-first, next-billion-user contexts
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Us SaaS based company
Us SaaS based company
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Role Overview

As a Software Engineer, you will build and maintain features across our SaaS platform. You will work on well-scoped tasks and features, collaborate closely with senior engineers, and grow your skills in software design, cloud-native development, and modern engineering practices. This role is a great fit for engineers who have solid programming fundamentals, are curious and quick to learn, and take pride in writing quality code. You will be supported and mentored while taking on increasing ownership over time.


Required Qualifications

Bachelor’s or Master’s degree in Computer Science or a related discipline.·       

5–8 years of software engineering experience building production-grade applications.

Strong experience building and operating cloud-native SaaS or web applications.

Solid understanding of software design, distributed systems, and modern engineering practices.

Proven ability to own and deliver complex features independently.

Experience debugging and resolving performance, scalability, and reliability issues.

 

What We Look For

Strong programming fundamentals and a quality mindset.

Curiosity and a strong desire to learn and grow.

Ability to deliver well-scoped tasks reliably.

Good problem-solving and debugging skills.

Collaboration and communication skills.

Ownership and accountability for the work you do.

Passion for building software and continuous learning.

Read more
Bengaluru (Bangalore)
5 - 8 yrs
₹38L - ₹45L / yr
Node.js
skill iconPython
Field Engineer
Forward Deployed
skill iconDocker
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Role & Responsibilities

Own the Client’s Outcome:

  • Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
  • Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
  • Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

  • Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
  • Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
  • Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

  • Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
  • Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
  • Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

  • Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
  • Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
  • Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

  • Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
  • Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
  • Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

  • Strong Forward Deployed / Field Engineer
  • Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
  • Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
  • Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
  • Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
  • Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
  • Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
  • Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
  • Mandatory (Company): Top Product companies / Startups / SaaS / platform companies


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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