Senior Software Engineer

At Palcode.ai, We're on a mission to fix the massive inefficiencies in pre-construction. Think about it - in a $10 trillion industry, estimators still spend weeks analyzing bids, project managers struggle with scattered data, and costly mistakes slip through complex contracts. We're fixing this with purpose-built AI agents that work. Our platform can do “magic” to Preconstruction workflows from Weeks to Hours. It's not just about AI – it's about bringing real, measurable impact to an industry ready for change. We are backed by names like AWS for Startups, Upekkha Accelerator, and Microsoft for Startups.

Why Palcode.ai

Tackle Complex Problems: Build AI that reads between the lines of construction bids, spots hidden risks in contracts, and makes sense of fragmented project data

High-Impact Code: Your code won't sit in a backlog – it goes straight to estimators and project managers who need it yesterday

Tech Challenges That Matter: Design systems that process thousands of construction documents, handle real-time pricing data, and make intelligent decisions

Build & Own: Shape our entire tech stack, from data processing pipelines to AI model deployment

Quick Impact: Small team, huge responsibility. Your solutions directly impact project decisions worth millions

Learn & Grow: Master the intersection of AI, cloud architecture, and construction tech while working with founders who've built and scaled construction software

Your Role:

• Design and build our core AI services and APIs using Python
• Create reliable, scalable backend systems that handle complex data
• Help set up cloud infrastructure and deployment pipelines
• Collaborate with our AI team to integrate machine learning models
• Write clean, tested, production-ready code

You'll fit right in if:

• You have 1 year of hands-on Python development experience
• You're comfortable with full-stack development and cloud services
• You write clean, maintainable code and follow good engineering practices
• You're curious about AI/ML and eager to learn new technologies
• You enjoy fast-paced startup environments and take ownership of your work

How we will set you up for success

• You will work closely with the Founding team to understand what we are building.
• You will be given comprehensive training about the tech stack, with an opportunity to avail virtual training as well.
• You will be involved in a monthly one-on-one with the founders to discuss feedback
• A unique opportunity to learn from the best - we are Gold partners of AWS, Razorpay, and Microsoft Startup programs, having access to rich talent to discuss and brainstorm ideas.
• You’ll have a lot of creative freedom to execute new ideas. As long as you can convince us, and you’re confident in your skills, we’re here to back you in your execution.
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Location: Bangalore, Remote

Compensation: Competitive salary + Meaningful equity

If you get excited about solving hard problems that have real-world impact, we should talk.

All the best!!

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🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Core AI Backend Engineer – LLM Fine-Tuning

You know that moment when you don’t just debug code — you train a model, fine-tune it, and suddenly it understands your domain better than you expected? That’s the kind of magic we’re looking for.

We’re building something that turns chaotic social video data into crystal-clear business intelligence. Not just another API — but AI-backed architecture fine-tuned to our world. Systems that marketing teams thank you for, because they feel the intelligence, not just the infrastructure.

Either you feel the craft when you read this, or you don’t. This isn’t just another backend role. This is where you bring together scalable systems and cutting-edge LLMs to build something the world hasn’t seen before.

Who We Are

We’re a small, global team that ships fast. Every line of code and every model choice affects millions of video analysis requests.

Our engineers don’t just build APIs — they architect solutions, they optimize at scale, and now, they fine-tune models to make AI work in the real world. Our CPTO still codes. Our senior engineers make complexity look effortless. Our backend team sets a standard that others ask how we move so fast.

What We Need

We need someone who’s lived both sides of this life:

• Backend excellence: building high-scale, high-performance systems.
• LLM fine-tuning: hands-on with open-source models, not just calling APIs.

Someone who can sit with a requirement at 2pm and by 6pm not only has endpoints working, but also has a fine-tuned model running behind them — customized to our use case.

Your Craft

• JavaScript/TypeScript & NodeJS as core backend tools.
• Next.js for full-stack where needed.
• Rust when performance is non-negotiable.
• Golang/Python as comfortable tools of choice.
• MySQL/Postgres/Redis — wielded with intention.
• AWS ecosystem — your playground, not your puzzle.
• LLM/AI integration you’ve actually shipped.
• Open-source LLM fine-tuning experience:
• Bringing in open-source models (LLaMA, Mistral, Falcon, etc.).
• Fine-tuning/adapting them for specific domains.
• Optimizing for inference cost, latency, and accuracy.

The Reality

The work is beautifully complex. The scale is real and growing. The problems are the kind that wake you up at 3am with solutions.

If you get your energy from building backend systems and adapting LLMs to make them smarter for real-world use, you’ll probably fall in love with what we do. If you’re only interested in APIs without touching models, this won’t be your thing — and that’s completely okay.

How to Apply

If you’re reading this thinking “finally, a team that actually cares about real AI engineering” — we’d love to see something you’ve built.

Not just a resume. Show us your craft:

• An LLM fine-tuning repo.
• A domain-adapted model you worked on.
• A system design where you combined backend and AI.
• Or even a short write-up or voice note explaining what you’ve fine-tuned.

We’re genuinely excited to see what you’ve done and have a meaningful conversation about whether this could be magic for both of us.

• Experience in API development using Java will be a plus.

• Excellent knowledge and experience in writing testable, scalable, flexible, robust and efficient web applications using JavaEE 6/7 technologies, specifically, Spring core, Spring Boot Spring Data, spring batch and JPA
• Experience in successfully deploying Java-based applications in production and understanding load-balancing, authentication, and fault tolerance through Tom Cat.
• Experience in database modeling (MySQL/NoSQL databases such as Mongo DB)

• Knowledge of integrating with Ant, Maven, GIT and Shell scripting.
• Strong backend experience to develop Data Layer using at least one of the ORM frameworks like Hibernate, JPA etc.
• Strong RDBMS Skills and SQL skills. Experience in MySQL, Teradata and warehousing databases.

• Experience in Analytics frameworks and visualization products.

• Excellent knowledge and experience of Maven, Continuous Integration, and Continuous Delivery with Jenkins.
  • Experience with JavaScript frameworks, especially Angular is a definite plus.

Java 8, J2EE , Spring Boot, Microservices, Apache Spark, DevOps, Advanced SQL, preferably with

expertise in Data engineering/Data analytics,

ELK(Elastic Search, Logstash , Kibana) stack, Teradata, any No SQL database, Hands on experience in

maintaining products on Cloud Technologies like PCF, Azure, Docker, Kubernetes, etc, NodeJS,

Angular 2x, GitLab with CI/CD, Hands on experience in Unix server, Shell scripting, Large data

processing, Performance tuning, Experience in working in various Test Automation frameworks like

Selenium, Test NG, Python, Cucumber, Karma, Karate/ Jasmine, etc

Experience in using Eclipse, Spring tool suite, Project building tools - Maven, Gradle, etc, JIRA for ALM.

• Previous working experience as a MEAN Stack Developer for 1+ years
• BSc degree in Computer Science or similar relevant field 
• In-depth knowledge of NodeJS, ExpressJS or Restify
• Experience implementing applications using Angular 1 or React
• Experience creating front end applications using HTML5, Angular, LESS/SASS
• Hands-on experience with JavaScript Development on both client and server-side
• Experience with modern frameworks and design patterns, minimum one-year experience with MEAN Fullstack paradigm
• Knowledge of the following will be considered as an advantage:
• Consumer Web Development Experience for High-Traffic, Public Facing web applications
• Experience with cloud technologies also a plus
• Creating secure RESTful-based web services in XML and JSON, Javascript, JQuery
• Continuous integration (Jenkins/Hudson) and version control (SVN, Git).

Project Overview: We are looking for expert level Postgres database developer to work on a software application development project for a fortune 500 US based telecom client. The application is web based and used across multiple teams to support their business processes. The developer will be responsible for developing various components of the Postgres database and for light administration of the database.

Key Responsibilities: Collaborate with onshore, offshore and other team members to understand the user stories and develop code. Develop and execute scripts to unit test. Collaborate with onshore developers, product owner and the client team to perform work in an integrated manner.

Professional Attributes: Should have the ability to work independently and seek guidance as and when necessary - Should have good communication skills - Flexible working in different time zones if necessary - Good team player - Mentoring juniors

Experience preferred:

• Extensive experience in Postgres database development (expert level)
• Experience in Postgres administration.
• Must have working experience with GIS data functionality
• Experience handling large datasets (50-100M tables)
• Preferred – exposure to Azure or AWS
• Must have skillsets for database performance tuning
• Familiarity with web applications
• Ability to work independently with minimal oversight
• Experience working cohesively in integrated teams
• Good interpersonal, communication, documentation and presentation skills.
• Prior experience working in agile environments
• Ability to communicate effectively both orally and in writing with clients, Business Analysts and Developers
• Strong analytical, problem-solving and conceptual skills
• Excellent organizational skills; attention to detail
• Ability to resolve project issues effectively and efficiently
• Ability to prioritize workload and consistently meet deadlines
• Experience working with onshore-offshore model

1. Building REST API's & Services In Django Framework
2. Building reusable code and libraries for future use
3. Optimization of the application for maximum speed and scalability
4. Implementation of security and data protection
5. Design and implementation of the database schema
6. Design and implementation of data storage solutions
7. Implementing CI/CD pipeline

• Proficient knowledge of a back-end programming language Python
• Hands-on experience with Python Frameworks like Django
• Proficient knowledge of MySQL, PostgreSQL
• Creating database schemas that represent and support business processes (Relational & NoSQL)
• Understanding of queueing systems like Redis/AWS SQS
• User authentication and authorization between multiple systems, servers, and environments
• Data migration, transformation, and scripting
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Proficient understanding of code versioning tools, such as Git

• Experience in Docker
• HandsOn Knowledge with implementing CI/CD pipelines
• Experience in managing applications on AWS
• Management of hosting environment, including database administration and scaling application to support load changes
• Product wide application-level thinking on API and data modeling

• 10 + years of experience and expertise in database and systems architecture design, development and implementation;
• Expertise and experience in data structures, indexing, query, and retrieval;
• Excellent data management skills including ensuring data integrity, data access, security and archiving procedures;
• Knowledge of the language technology and video extraction research domains to be able to converse fluently with the research communities to transform research requirements into concrete formalisms.
• Experience in cross platform development for multiple variants of Unix, Linux including 32 and 64 bit
• Experience with NoSQL, SQL databases, statistics and algorithms
• Strong oral and written communication skills
• Design, implement and test novel database architecture designs to accommodate the multimodal data types used in Client managed technology evaluations
• Administer and monitor database and address data security solutions as applicable
• Design and develop efficient techniques for fast, optimized data access and transfer of distributed or networked database systems
• Design, implement and test novel data structures, data search, query and retrieval solutions to enable access to and processing of the multimodal data types used in Client managed technology evaluations